Malware Explained

Malware (a portmanteau of malicious software)[1] is any software intentionally designed to cause disruption to a computer, server, client, or computer network, leak private information, gain unauthorized access to information or systems, deprive access to information, or which unknowingly interferes with the user's computer security and privacy.[2] [3] [4] [5] Researchers tend to classify malware into one or more sub-types (i.e. computer viruses, worms, Trojan horses, ransomware, spyware, adware, rogue software, wipers and keyloggers).

Malware poses serious problems to individuals and businesses on the Internet.[6] [7] According to Symantec's 2018 Internet Security Threat Report (ISTR), malware variants number has increased to 669,947,865 in 2017, which is twice as many malware variants as in 2016.[8] Cybercrime, which includes malware attacks as well as other crimes committed by computer, was predicted to cost the world economy US$6 trillion in 2021, and is increasing at a rate of 15% per year.[9] Since 2021, malware has been designed to target computer systems that run critical infrastructure such as the electricity distribution network.[10]

The defense strategies against malware differ according to the type of malware but most can be thwarted by installing antivirus software, firewalls, applying regular patches, securing networks from intrusion, having regular backups and isolating infected systems. Malware can be designed to evade antivirus software detection algorithms.

History

The notion of a self-reproducing computer program can be traced back to initial theories about the operation of complex automata.[11] John von Neumann showed that in theory a program could reproduce itself. This constituted a plausibility result in computability theory. Fred Cohen experimented with computer viruses and confirmed Neumann's postulate and investigated other properties of malware such as detectability and self-obfuscation using rudimentary encryption. His 1987 doctoral dissertation was on the subject of computer viruses.[12] The combination of cryptographic technology as part of the payload of the virus, exploiting it for attack purposes was initialized and investigated from the mid-1990s, and includes initial ransomware and evasion ideas.[13]

Before Internet access became widespread, viruses spread on personal computers by infecting executable programs or boot sectors of floppy disks. By inserting a copy of itself into the machine code instructions in these programs or boot sectors, a virus causes itself to be run whenever the program is run or the disk is booted. Early computer viruses were written for the Apple II and Mac, but they became more widespread with the dominance of the IBM PC and MS-DOS. The first IBM PC virus in the wild was a boot sector virus dubbed (c)Brain, created in 1986 by the Farooq Alvi brothers in Pakistan.[14] Malware distributors would trick the user into booting or running from an infected device or medium. For example, a virus could make an infected computer add autorunnable code to any USB stick plugged into it. Anyone who then attached the stick to another computer set to autorun from USB would in turn become infected, and also pass on the infection in the same way.[15]

Older email software would automatically open HTML email containing potentially malicious JavaScript code. Users may also execute disguised malicious email attachments. The 2018 Data Breach Investigations Report by Verizon, cited by CSO Online, states that emails are the primary method of malware delivery, accounting for 96% of malware delivery around the world.[16] [17]

The first worms, network-borne infectious programs, originated not on personal computers, but on multitasking Unix systems. The first well-known worm was the Morris worm of 1988, which infected SunOS and VAX BSD systems. Unlike a virus, this worm did not insert itself into other programs. Instead, it exploited security holes (vulnerabilities) in network server programs and started itself running as a separate process.[18] This same behavior is used by today's worms as well.[19]

With the rise of the Microsoft Windows platform in the 1990s, and the flexible macros of its applications, it became possible to write infectious code in the macro language of Microsoft Word and similar programs. These macro viruses infect documents and templates rather than applications (executables), but rely on the fact that macros in a Word document are a form of executable code.[20]

Many early infectious programs, including the Morris Worm, the first internet worm, were written as experiments or pranks.[21] Today, malware is used by both black hat hackers and governments to steal personal, financial, or business information.[22] [23] Today, any device that plugs into a USB port – even lights, fans, speakers, toys, or peripherals such as a digital microscope – can be used to spread malware. Devices can be infected during manufacturing or supply if quality control is inadequate.

Purposes

Since the rise of widespread broadband Internet access, malicious software has more frequently been designed for profit. Since 2003, the majority of widespread viruses and worms have been designed to take control of users' computers for illicit purposes.[24] Infected "zombie computers" can be used to send email spam, to host contraband data such as child pornography,[25] or to engage in distributed denial-of-service attacks as a form of extortion.[26] Malware is used broadly against government or corporate websites to gather sensitive information,[27] or to disrupt their operation in general. Further, malware can be used against individuals to gain information such as personal identification numbers or details, bank or credit card numbers, and passwords.[28] [29]

In addition to criminal money-making, malware can be used for sabotage, often for political motives. Stuxnet, for example, was designed to disrupt very specific industrial equipment. There have been politically motivated attacks which spread over and shut down large computer networks, including massive deletion of files and corruption of master boot records, described as "computer killing." Such attacks were made on Sony Pictures Entertainment (25 November 2014, using malware known as Shamoon or W32.Disttrack) and Saudi Aramco (August 2012).[30] [31]

Types

Malware can be classified in numerous ways, and certain malicious programs may fall into two or more categories simultaneously. Broadly, software can categorised into three types:[32] (i) goodware; (ii) greyware and (iii) malware.

Classification of potentially malicious software
Data sourced from: Molina-Coronado et al. (2023)!Type!Characteristics!Examples!Notes
GoodwareObtained from trustworthy sources
GreywareInsufficient consensus and/or metrics
MalwareBroad consensus among antivirus software that program is malicious or obtained from flagged sources.

Malware

Virus

See main article: Computer virus.

A computer virus is software usually hidden within another seemingly innocuous program that can produce copies of itself and insert them into other programs or files, and that usually performs a harmful action (such as destroying data).[33] They have been likened to biological viruses. An example of this is a portable execution infection, a technique, usually used to spread malware, that inserts extra data or executable code into PE files.[34] A computer virus is software that embeds itself in some other executable software (including the operating system itself) on the target system without the user's knowledge and consent and when it is run, the virus is spread to other executable files.

Worm

A worm is a stand-alone malware software that transmits itself over a network to infect other computers and can copy itself without infecting files. These definitions lead to the observation that a virus requires the user to run an infected software or operating system for the virus to spread, whereas a worm spreads itself.[35]

Rootkits

See main article: Rootkit.

Once malicious software is installed on a system, it is essential that it stays concealed, to avoid detection. Software packages known as rootkits allow this concealment, by modifying the host's operating system so that the malware is hidden from the user. Rootkits can prevent a harmful process from being visible in the system's list of processes, or keep its files from being read.[36]

Some types of harmful software contain routines to evade identification and/or removal attempts, not merely to hide themselves. An early example of this behavior is recorded in the Jargon File tale of a pair of programs infesting a Xerox CP-V time sharing system:

Backdoors

See main article: Backdoor (computing).

A backdoor is a broad term for a computer program that allows an attacker persistent unauthorised remote access to a victim's machine often without their knowledge. The attacker typically uses another attack (such as a trojan, worm or virus) to bypass authentication mechanisms usually over an unsecured network such as the Internet to install the backdoor application. A backdoor can also be a side effect of a software bug in legitimate software that is exploited by an attacker to gain access to a victim's computer or network.

The idea has often been suggested that computer manufacturers preinstall backdoors on their systems to provide technical support for customers, but this has never been reliably verified. It was reported in 2014 that US government agencies had been diverting computers purchased by those considered "targets" to secret workshops where software or hardware permitting remote access by the agency was installed, considered to be among the most productive operations to obtain access to networks around the world.[37] Backdoors may be installed by Trojan horses, worms, implants, or other methods.[38] [39]

Trojan horse

A Trojan horse misrepresents itself to masquerade as a regular, benign program or utility in order to persuade a victim to install it. A Trojan horse usually carries a hidden destructive function that is activated when the application is started. The term is derived from the Ancient Greek story of the Trojan horse used to invade the city of Troy by stealth.[40] [41]

Trojan horses are generally spread by some form of social engineering, for example, where a user is duped into executing an email attachment disguised to be unsuspicious, (e.g., a routine form to be filled in), or by drive-by download. Although their payload can be anything, many modern forms act as a backdoor, contacting a controller (phoning home) which can then have unauthorized access to the affected computer, potentially installing additional software such as a keylogger to steal confidential information, cryptomining software or adware to generate revenue to the operator of the trojan.[42] While Trojan horses and backdoors are not easily detectable by themselves, computers may appear to run slower, emit more heat or fan noise due to heavy processor or network usage, as may occur when cryptomining software is installed. Cryptominers may limit resource usage and/or only run during idle times in an attempt to evade detection.

Unlike computer viruses and worms, Trojan horses generally do not attempt to inject themselves into other files or otherwise propagate themselves.[43]

In spring 2017, Mac users were hit by the new version of Proton Remote Access Trojan (RAT)[44] trained to extract password data from various sources, such as browser auto-fill data, the Mac-OS keychain, and password vaults.[45]

Droppers

See main article: Dropper (malware).

Droppers are a sub-type of Trojans that solely aim to deliver malware upon the system that they infect with the desire to subvert detection through stealth and a light payload.[46] It is important not to confuse a dropper with a loader or stager. A loader or stager will merely load an extension of the malware (for example a collection of malicious functions through reflective dynamic link library injection) into memory. The purpose is to keep the initial stage light and undetectable. A dropper merely downloads further malware to the system.

Ransomware

See main article: Ransomware. Ransomware prevents a user from accessing their files until a ransom is paid. There are two variations of ransomware, being crypto ransomware and locker ransomware.[47] Locker ransomware just locks down a computer system without encrypting its contents, whereas crypto ransomware locks down a system and encrypts its contents. For example, programs such as CryptoLocker encrypt files securely, and only decrypt them on payment of a substantial sum of money.[48]

Lock-screens, or screen lockers is a type of "cyber police" ransomware that blocks screens on Windows or Android devices with a false accusation in harvesting illegal content, trying to scare the victims into paying up a fee.[49] Jisut and SLocker impact Android devices more than other lock-screens, with Jisut making up nearly 60 percent of all Android ransomware detections.[50]

Encryption-based ransomware, like the name suggests, is a type of ransomware that encrypts all files on an infected machine. These types of malware then display a pop-up informing the user that their files have been encrypted and that they must pay (usually in Bitcoin) to recover them. Some examples of encryption-based ransomware are CryptoLocker and WannaCry.[51]

Click Fraud

Some malware is used to generate money by click fraud, making it appear that the computer user has clicked an advertising link on a site, generating a payment from the advertiser. It was estimated in 2012 that about 60 to 70% of all active malware used some kind of click fraud, and 22% of all ad-clicks were fraudulent.[52]

Grayware

See also: Privacy-invasive software and Potentially unwanted program.

Grayware is any unwanted application or file that can worsen the performance of computers and may cause security risks but which there is insufficient consensus or data to classify them as malware. Types of greyware typically includes spyware, adware, fraudulent dialers, joke programs ("jokeware") and remote access tools. For example, at one point, Sony BMG compact discs silently installed a rootkit on purchasers' computers with the intention of preventing illicit copying.[53]

Potentially Unwanted Program (PUP)

Potentially unwanted programs (PUPs) are applications that would be considered unwanted despite often being intentionally downloaded by the user.[54] PUPs include spyware, adware, and fraudulent dialers.

Many security products classify unauthorised key generators as PUPs, although they frequently carry true malware in addition to their ostensible purpose.[55] In fact, Kammerstetter et al. (2012) estimated that as much as 55% of key generators could contain malware and that about 36% malicious key generators were not detected by antivirus software.

Adware

Some types of adware turn off anti-malware and virus protection; technical remedies are available.[56]

Spyware

Programs designed to monitor users' web browsing, display unsolicited advertisements, or redirect affiliate marketing revenues are called spyware. Spyware programs do not spread like viruses; instead they are generally installed by exploiting security holes. They can also be hidden and packaged together with unrelated user-installed software.[57] The Sony BMG rootkit was intended to prevent illicit copying; but also reported on users' listening habits, and unintentionally created extra security vulnerabilities.

Detection

Antivirus software typically uses two techniques to detect malware: (i) static analysis and (ii) dynamic/heuristic analysis.[58] Static analysis involves studying the software code of a potentially malicious program and producing a signature of that program. This information is then used to compare scanned files by an antivirus program. Because this approach is not useful for malware that has not yet been studied, antivirus software can use dynamic analysis to monitor how the program runs on a computer and block it if it performs unexpected activity.

The aim of any malware is to conceal itself from detection by users or antivirus software. Detecting potential malware is difficult for two reasons. The first is that it is difficult to determine if software is malicious. The second is that malware uses technical measures to make it more difficult to detect it. An estimated 33% of malware is not detected by antivirus software.

The most commonly employed anti-detection technique involves encrypting the malware payload in order to prevent antivirus software from recognizing the signature. Tools such as crypters come with an encrypted blob of malicious code and a decryption stub. The stub decrypts the blob and loads it into memory. Because antivirus does not typically scan memory and only scans files on the drive, this allows the malware to evade detection. Advanced malware has the ability to transform itself into different variations, making it less likely to be detected due to the differences in its signatures. This is known as polymorphic malware. Other common techniques used to evade detection include, from common to uncommon: (1) evasion of analysis and detection by fingerprinting the environment when executed;[59] (2) confusing automated tools' detection methods. This allows malware to avoid detection by technologies such as signature-based antivirus software by changing the server used by the malware;[60] (3) timing-based evasion. This is when malware runs at certain times or following certain actions taken by the user, so it executes during certain vulnerable periods, such as during the boot process, while remaining dormant the rest of the time; (4) obfuscating internal data so that automated tools do not detect the malware;[61] (v) information hiding techniques, namely stegomalware;[62] and (5) fileless malware which runs within memory instead of using files and utilizes existing system tools to carry out malicious acts. The use of existing binaries to carry out malicious activities is a technique known as LotL, or Living off the Land.[63] This reduces the amount of forensic artifacts available to analyze. Recently these types of attacks have become more frequent with a 432% increase in 2017 and makeup 35% of the attacks in 2018. Such attacks are not easy to perform but are becoming more prevalent with the help of exploit-kits.[64] [65]

Risks

Vulnerable software

A vulnerability is a weakness, flaw or software bug in an application, a complete computer, an operating system, or a computer network that is exploited by malware to bypass defences or gain privileges it requires to run. For example, TestDisk 6.4 or earlier contained a vulnerability that allowed attackers to inject code into Windows.[66] Malware can exploit security defects (security bugs or vulnerabilities) in the operating system, applications (such as browsers, e.g. older versions of Microsoft Internet Explorer supported by Windows XP[67]), or in vulnerable versions of browser plugins such as Adobe Flash Player, Adobe Acrobat or Reader, or Java SE.[68] [69] For example, a common method is exploitation of a buffer overrun vulnerability, where software designed to store data in a specified region of memory does not prevent more data than the buffer can accommodate from being supplied. Malware may provide data that overflows the buffer, with malicious executable code or data after the end; when this payload is accessed it does what the attacker, not the legitimate software, determines.

Malware can exploit recently discovered vulnerabilities before developers have had time to release a suitable patch. Even when new patches addressing the vulnerability have been released, they may not necessarily be installed immediately, allowing malware to take advantage of systems lacking patches. Sometimes even applying patches or installing new versions does not automatically uninstall the old versions.

There are several ways the users can stay informed and protected from security vulnerabilities in software.Software providers often announce updates that address security issues.[70] Common vulnerabilities are assigned unique identifiers (CVE IDs) and listed in public databases like the National Vulnerability Database.Tools like Secunia PSI,[71] free for personal use, can scan a computer for outdated software with known vulnerabilities and attempt to update them.Firewalls and intrusion prevention systems can monitor the network traffic for suspicious activity that might indicate an attack.[72]

Excessive privileges

Users and programs can be assigned more privileges than they require, and malware can take advantage of this. For example, of 940 Android apps sampled, one third of them asked for more privileges than they required.[73] Apps targeting the Android platform can be a major source of malware infection but one solution is to use third-party software to detect apps that have been assigned excessive privileges.[74]

Some systems allow all users to make changes to the core components or settings of the system, which is considered over-privileged access today. This was the standard operating procedure for early microcomputer and home computer systems, where there was no distinction between an administrator or root, and a regular user of the system. In some systems, non-administrator users are over-privileged by design, in the sense that they are allowed to modify internal structures of the system. In some environments, users are over-privileged because they have been inappropriately granted administrator or equivalent status.[75] This can be because users tend to demand more privileges than they need, so often end up being assigned unnecessary privileges.

Some systems allow code executed by a user to access all rights of that user, which is known as over-privileged code. This was also standard operating procedure for early microcomputer and home computer systems. Malware, running as over-privileged code, can use this privilege to subvert the system. Almost all currently popular operating systems, and also many scripting applications allow code too many privileges, usually in the sense that when a user executes code, the system allows that code all rights of that user.

Weak passwords

A credential attack occurs when a user account with administrative privileges is cracked and that account is used to provide malware with appropriate privileges.[76] Typically, the attack succeeds because the weakest form of account security is used, which is typically a short password that can be cracked using a dictionary or brute force attack. Using strong passwords and enabling two-factor authentication can reduce this risk. With the latter enabled, even if an attacker can crack the password, they cannot use the account without also having the token possessed by the legitimate user of that account.

Use of the same operating system

Homogeneity can be a vulnerability. For example, when all computers in a network run the same operating system, upon exploiting one, one worm can exploit them all:[77] In particular, Microsoft Windows or Mac OS X have such a large share of the market that an exploited vulnerability concentrating on either operating system could subvert a large number of systems. It is estimated that approximately 83% of malware infections between January and March 2020 were spread via systems running Windows 10.[78] This risk is mitigated by segmenting the networks into different subnetworks and setting up firewalls to block traffic between them.[79] [80]

Mitigation

Antivirus / Anti-malware software

Anti-malware (sometimes also called antivirus) programs block and remove some or all types of malware. For example, Microsoft Security Essentials (for Windows XP, Vista, and Windows 7) and Windows Defender (for Windows 8, 10 and 11) provides real-time protection. The Windows Malicious Software Removal Tool removes malicious software from the system.[81] Additionally, several capable antivirus software programs are available for free download from the Internet (usually restricted to non-commercial use).[82] Tests found some free programs to be competitive with commercial ones.[83] [84]

Typically, antivirus software can combat malware in the following ways:

  1. Real-time protection: They can provide real time protection against the installation of malware software on a computer. This type of malware protection works the same way as that of antivirus protection in that the anti-malware software scans all incoming network data for malware and blocks any threats it comes across.
  2. Removal: Anti-malware software programs can be used solely for detection and removal of malware software that has already been installed onto a computer. This type of anti-malware software scans the contents of the Windows registry, operating system files, and installed programs on a computer and will provide a list of any threats found, allowing the user to choose which files to delete or keep, or to compare this list to a list of known malware components, removing files that match.[85]
  3. Sandboxing: Sandboxing confines applications within a controlled environment, restricting their operations and isolating them from other applications on the host while limiting access to system resources.[86] Browser sandboxing isolates web processes to prevent malware and exploits, enhancing security.

Real-time protection

A specific component of anti-malware software, commonly referred to as an on-access or real-time scanner, hooks deep into the operating system's core or kernel and functions in a manner similar to how certain malware itself would attempt to operate, though with the user's informed permission for protecting the system. Any time the operating system accesses a file, the on-access scanner checks if the file is infected or not. Typically, when an infected file is found, execution is stopped and the file is quarantined to prevent further damage with the intention to prevent irreversible system damage. Most AVs allow users to override this behaviour. This can have a considerable performance impact on the operating system, though the degree of impact is dependent on how many pages it creates in virtual memory.[87]

Sandboxing

Sandboxing is a security model that confines applications within a controlled environment, restricting their operations to authorized "safe" actions and isolating them from other applications on the host. It also limits access to system resources like memory and the file system to maintain isolation.

Browser sandboxing is a security measure that isolates web browser processes and tabs from the operating system to prevent malicious code from exploiting vulnerabilities.It helps protect against malware, zero-day exploits, and unintentional data leaks by trapping potentially harmful code within the sandbox.It involves creating separate processes, limiting access to system resources, running web content in isolated processes, monitoring system calls, and memory constraints.Inter-process communication (IPC) is used for secure communication between processes.Escaping the sandbox involves targeting vulnerabilities in the sandbox mechanism or the operating system's sandboxing features.[88] [89]

While sandboxing is not foolproof, it significantly reduces the attack surface of common threats.Keeping browsers and operating systems updated is crucial to mitigate vulnerabilities.

Website security scans

Website vulnerability scans check the website, detect malware, may note outdated software, and may report known security issues, in order to reduce the risk of the site being compromised.

Network Segregation

Structuring a network as a set of smaller networks, and limiting the flow of traffic between them to that known to be legitimate, can hinder the ability of infectious malware to replicate itself across the wider network. Software-defined networking provides techniques to implement such controls.

"Air gap" isolation or "parallel network"

As a last resort, computers can be protected from malware, and the risk of infected computers disseminating trusted information can be greatly reduced by imposing an "air gap" (i.e. completely disconnecting them from all other networks) and applying enhanced controls over the entry and exit of software and data from the outside world. However, malware can still cross the air gap in some situations, not least due to the need to introduce software into the air-gapped network and can damage the availability or integrity of assets thereon. Stuxnet is an example of malware that is introduced to the target environment via a USB drive, causing damage to processes supported on the environment without the need to exfiltrate data.

AirHopper,[90] BitWhisper,[91] GSMem[92] and Fansmitter[93] are four techniques introduced by researchers that can leak data from air-gapped computers using electromagnetic, thermal and acoustic emissions.

Research

Utilizing bibliometric analysis, the study of malware research trends from 2005 to 2015, considering criteria such as impact journals, highly cited articles, research areas, number of publications, keyword frequency, institutions, and authors, revealed an annual growth rate of 34.1%. North America led in research output, followed by Asia and Europe. China and India were identified as emerging contributors.[94]

See also

External links

Notes and References

  1. Tahir, R. (2018). A study on malware and malware detection techniques. . International Journal of Education and Management Engineering, 8(2), 20.
  2. Web site: An Undirected Attack Against Critical Infrastructure . United States Computer Emergency Readiness Team(Us-cert.gov) . 28 September 2014 . 24 December 2016 . https://web.archive.org/web/20161224070034/https://ics-cert.us-cert.gov/sites/default/files/recommended_practices/CaseStudy-002.pdf . live .
  3. Book: Cani. Andrea. Gaudesi. Marco. Sanchez. Ernesto. Squillero. Giovanni. Tonda. Alberto. Proceedings of the 29th Annual ACM Symposium on Applied Computing . Towards automated malware creation . 2014-03-24. https://doi.org/10.1145/2554850.2555157. SAC '14. New York, NY, USA. Association for Computing Machinery. 157–160. 10.1145/2554850.2555157. 978-1-4503-2469-4. 14324560.
  4. Brewer. Ross. 2016-09-01. Ransomware attacks: detection, prevention and cure. Network Security. en. 2016. 9. 5–9. 10.1016/S1353-4858(16)30086-1. 1353-4858. 2 December 2021. 10 April 2019. https://web.archive.org/web/20190410072104/https://www.sciencedirect.com/science/article/pii/S1353485816300861. live.
  5. Zhong . Fangtian . Chen . Zekai . Xu . Minghui . Zhang . Guoming . Yu . Dongxiao . Cheng . Xiuzhen. Xiuzhen Cheng . 2022 . Malware-on-the-Brain: Illuminating Malware Byte Codes with Images for Malware Classification . IEEE Transactions on Computers . 72 . 2 . 438–451 . 10.1109/TC.2022.3160357 . 2108.04314 . 236965755 . 0018-9340 . 2 September 2022 . 2 September 2022 . https://web.archive.org/web/20220902175001/https://ieeexplore.ieee.org/document/9737370/ . live .
  6. Kim. Jin-Young. Bu. Seok-Jun. Cho. Sung-Bae. 2018-09-01. Zero-day malware detection using transferred generative adversarial networks based on deep autoencoders. Information Sciences. en. 460–461. 83–102. 10.1016/j.ins.2018.04.092. 51882216. 0020-0255. 2 December 2021. 23 June 2020. https://web.archive.org/web/20200623174252/https://www.sciencedirect.com/science/article/pii/S0020025518303475. live.
  7. Razak . Mohd Faizal Ab . Anuar . Nor Badrul . Salleh . Rosli . Firdaus . Ahmad . 2016-11-01 . The rise of "malware": Bibliometric analysis of malware study . Journal of Network and Computer Applications . en . 75 . 58–76 . 10.1016/j.jnca.2016.08.022 . 30 April 2022 . 26 June 2022 . https://web.archive.org/web/20220626040626/https://linkinghub.elsevier.com/retrieve/pii/S1084804516301904 . live .
  8. Xiao. Fei. Sun. Yi. Du. Donggao. Li. Xuelei. Luo. Min. 2020-03-21. A Novel Malware Classification Method Based on Crucial Behavior. Mathematical Problems in Engineering. 2020. 1–12. 10.1155/2020/6804290. 1024-123X. free.
  9. Web site: Morgan . Steve . Cybercrime To Cost The World $10.5 Trillion Annually By 2025 . Cybercrime magazine website . Cybersecurity ventures . 13 November 2020 . 5 March 2022 . 5 March 2022 . https://web.archive.org/web/20220305072352/https://cybersecurityventures.com/hackerpocalypse-cybercrime-report-2016/ . live .
  10. Eder-Neuhauser . Peter . Zseby . Tanja . Fabini . Joachim . 2019-06-01 . Malware propagation in smart grid networks: metrics, simulation and comparison of three malware types . Journal of Computer Virology and Hacking Techniques . en . 15 . 2 . 109–125 . 10.1007/s11416-018-0325-y . 255164530 . 2263-8733 . free .
  11. John von Neumann, "Theory of Self-Reproducing Automata", Part 1: Transcripts of lectures given at the University of Illinois, December 1949, Editor: A. W. Burks, University of Illinois, USA, 1966.
  12. Fred Cohen, "Computer Viruses", PhD Thesis, University of Southern California, ASP Press, 1988.
  13. Book: Young. Adam. Malicious cryptography - exposing cryptovirology. Yung. Moti. 2004. Wiley. 978-0-7645-4975-5. 1–392. limited.
  14. Book: Avoine, Gildas. Computer system security: basic concepts and solved exercises. Pascal Junod. Philippe Oechslin. EFPL Press. 2007. 978-1-4200-4620-5. 20. The first PC virus is credited to two brothers, Basit Farooq Alvi and Amjad Farooq Alvi, from Pakistan.
  15. Web site: USB devices spreading viruses. 18 February 2015. CNET. CBS Interactive. 24 September 2015. https://web.archive.org/web/20150924055323/http://www.cnet.com/uk/news/usb-devices-spreading-viruses/. live.
  16. 2018 Data Breach Investigations Report . Verizon . 2018 . 11th . 26 September 2022 . 18 . 16 October 2021 . https://web.archive.org/web/20211016232230/https://enterprise.verizon.com/resources/reports/DBIR_2018_Report.pdf . live .
  17. Web site: Fruhlinger. Josh. October 10, 2018. Top cybersecurity facts, figures and statistics for 2018. January 20, 2020. CSO Online. 2 June 2019. https://web.archive.org/web/20190602063948/https://www.csoonline.com/article/3153707/top-cybersecurity-facts-figures-and-statistics.html. live.
  18. Web site: William A Hendric. 4 September 2014. Computer Virus history. 29 March 2015. The Register. 10 May 2018. https://web.archive.org/web/20180510050522/https://antivirus.comodo.com/blog/computer-safety/short-history-computer-viruses/. live.
  19. News: 2018-05-02. Cryptomining Worm MassMiner Exploits Multiple Vulnerabilities - Security Boulevard. en-US. Security Boulevard. 2018-05-09. 9 May 2018. https://web.archive.org/web/20180509221215/https://securityboulevard.com/2018/05/cryptomining-worm-massminer-exploits-multiple-vulnerabilities/. live.
  20. Web site: Beware of Word Document Viruses. 2017-09-25. us.norton.com. 26 September 2017. https://web.archive.org/web/20170926001833/https://us.norton.com/yoursecurityresource/detail.jsp?aid=feature_word. live.
  21. Book: Tipton, Harold F.. Information Security Management Handbook. 2002-12-26. CRC Press. 978-1-4200-7241-9. en. 16 November 2020. 27 February 2023. https://web.archive.org/web/20230227060934/https://books.google.com/books?id=oR_UHxm7QBwC&q=history+of+malware+pranks&pg=PA982. live.
  22. Web site: Malware. 27 March 2014. FEDERAL TRADE COMMISSION- CONSUMER INFORMATION. 20 March 2017. https://web.archive.org/web/20170320191553/https://www.consumer.ftc.gov/articles/0011-malware. live.
  23. Hernandez. Pedro. Microsoft Vows to Combat Government Cyber-Spying. https://archive.today/20140123094411/http://www.eweek.com/security/microsoft-vows-to-combat-government-cyber-spying.html. dead. 23 January 2014. eWeek. 15 December 2013.
  24. Web site: Malware Revolution: A Change in Target. March 2007. 26 August 2017. 16 October 2008. https://web.archive.org/web/20081016211216/https://technet.microsoft.com/en-us/library/cc512596.aspx. live.
  25. Web site: Child Porn: Malware's Ultimate Evil. November 2009. 22 November 2010. 22 October 2013. https://web.archive.org/web/20131022155627/http://www.itworld.com/security/84077/child-porn-malwares-ultimate-evil. live.
  26. http://www.pcworld.com/article/id,116841-page,1/article.html PC World – Zombie PCs: Silent, Growing Threat
  27. Web site: Kovacs . Eduard . 27 February 2013 . MiniDuke Malware Used Against European Government Organizations . 27 February 2013 . Softpedia . 11 October 2016 . https://web.archive.org/web/20161011191453/http://news.softpedia.com/news/MiniDuke-Malware-Used-Against-European-Government-Organizations-333006.shtml . live .
  28. News: Claburn . Thomas . October 26, 2022 . Ukrainian indicted by US govt on cybercrime charges . en . . 27 October 2022 . Those deploying Raccoon used phishing messages and other tricks to get the malware onto potentially millions of victims' computers worldwide. Once installed, the code provided access to login credentials and other data stored on the compromised system. . 26 October 2022 . https://web.archive.org/web/20221026235426/https://www.theregister.com/2022/10/26/feds_indict_ukrainian_raccoon/ . live .
  29. Web site: Raccoon Infostealer Disclosure . 27 October 2022 . raccoon.ic3.gov . 27 February 2023 . https://web.archive.org/web/20230227063646/https://raccoon.ic3.gov/home . live .
  30. Web site: Shamoon is latest malware to target energy sector. 18 February 2015. 23 September 2015. https://web.archive.org/web/20150923222648/http://www.computerweekly.com/news/2240161674/Shamoon-is-latest-malware-to-target-energy-sector. live.
  31. Web site: Computer-killing malware used in Sony attack a wake-up call. 18 February 2015. 7 December 2017. https://web.archive.org/web/20171207140213/http://www.computerweekly.com/news/2240235919/Computer-killing-malware-used-in-Sony-attack-a-wake-up-call-to-business?asrc=EM_MDN_37122786. live.
  32. Molina-Coronado . Borja . Mori . Usue . Mendiburu . Alexander . Miguel-Alonso . Jose . 2023-01-01 . Towards a fair comparison and realistic evaluation framework of android malware detectors based on static analysis and machine learning . Computers & Security . en . 124 . 102996 . 10.1016/j.cose.2022.102996 . 2205.12569 . 252734950 . 0167-4048 . 10 January 2023 . 10 January 2023 . https://web.archive.org/web/20230110063747/https://www.sciencedirect.com/science/article/pii/S0167404822003881 . live .
  33. Web site: What are viruses, worms, and Trojan horses?. 23 February 2015. Indiana University. The Trustees of Indiana University. 4 September 2016. https://web.archive.org/web/20160904162213/https://kb.iu.edu/d/aehm. live.
  34. Book: Peter Szor. The Art of Computer Virus Research and Defense. 3 February 2005. Pearson Education. 978-0-672-33390-3. 204.
  35. Encyclopedia: computer virus – Encyclopædia Britannica . Britannica.com . 28 April 2013 . 13 May 2013 . https://web.archive.org/web/20130513221333/http://www.britannica.com/EBchecked/topic/130688/computer-virus . live .
  36. Web site: McDowell . Mindi . Understanding Hidden Threats: Rootkits and Botnets . 6 February 2013 . US-CERT . 29 March 2017 . https://web.archive.org/web/20170329025139/https://www.us-cert.gov/ncas/tips/ST06-001 . live .
  37. News: Staff . SPIEGEL . 2013-12-29 . Inside TAO: Documents Reveal Top NSA Hacking Unit . Spiegel Online . SPIEGEL . 23 January 2014 . 20 April 2017 . https://web.archive.org/web/20170420112316/http://www.spiegel.de/international/world/the-nsa-uses-powerful-toolbox-in-effort-to-spy-on-global-networks-a-940969-3.html . live .
  38. Web site: Edwards . John . Top Zombie, Trojan Horse and Bot Threats . dead . https://web.archive.org/web/20170209142725/http://www.itsecurity.com/features/top-zombie-trojan-bots-092507/ . 9 February 2017 . 25 September 2007 . IT Security.
  39. News: Appelbaum . Jacob . 2013-12-29 . Shopping for Spy Gear:Catalog Advertises NSA Toolbox . Spiegel Online . SPIEGEL . 29 December 2013 . 20 April 2017 . https://web.archive.org/web/20170420112319/http://www.spiegel.de/international/world/catalog-reveals-nsa-has-back-doors-for-numerous-devices-a-940994.html . live .
  40. Landwehr . C. E . A. R Bull . J. P McDermott . W. S Choi . 1993 . A taxonomy of computer program security flaws, with examples . DTIC Document . https://web.archive.org/web/20130408133230/http://www.dtic.mil/cgi-bin/GetTRDoc?AD=ADA465587 . 8 April 2013 . 5 April 2012 . live.
  41. Web site: Trojan Horse: [coined By MIT-hacker-turned-NSA-spook Dan Edwards] N. ]. dead . https://web.archive.org/web/20170705103553/http://www.anvari.org/fortune/Miscellaneous_Collections/291162_trojan-horse-coined-by-mit-hacker-turned-nsa-spook-dan-edwards-n.html . 5 July 2017 . 5 April 2012.
  42. Web site: What is the difference between viruses, worms, and Trojan horses? . 10 January 2009 . Symantec Corporation . 13 February 2015 . https://web.archive.org/web/20150213213523/http://www.symantec.com/business/support/index?page=content&id=TECH98539 . dead .
  43. Web site: 9 October 1995 . VIRUS-L/comp.virus Frequently Asked Questions (FAQ) v2.00 (Question B3: What is a Trojan Horse?) . 13 September 2012 . 24 September 2015 . https://web.archive.org/web/20150924041119/http://www.faqs.org/faqs/computer-virus/faq/ . live .
  44. Web site: Proton Mac Trojan Has Apple Code Signing Signatures Sold to Customers for $50k . 14 March 2017 . AppleInsider . 19 October 2017 . 19 October 2017 . https://web.archive.org/web/20171019163245/http://appleinsider.com/articles/17/03/14/proton-mac-trojan-has-apple-code-signing-signatures-sold-to-customers-for-50k . live .
  45. Web site: 24 August 2017 . Non-Windows Malware . Betanews . 19 October 2017 . 20 October 2017 . https://web.archive.org/web/20171020033721/https://betanews.com/2017/08/24/non-windows-malware/ . live .
  46. Web site: 2020-01-30 . Trojan Dropper . 31 October 2022 . MalwareBytes . 31 October 2022 . https://web.archive.org/web/20221031235424/https://www.malwarebytes.com/blog/threats/trojan-dropper . live .
  47. Richardson . Ronny . North . Max . 2017-01-01 . Ransomware: Evolution, Mitigation and Prevention . International Management Review . 13 . 1 . 10–21 . 23 November 2019 . 5 October 2022 . https://web.archive.org/web/20221005110429/https://digitalcommons.kennesaw.edu/facpubs/4276/ . live .
  48. News: Fruhlinger . Josh . 2017-08-01 . The 5 biggest ransomware attacks of the last 5 years . CSO . 2018-03-23 . 24 March 2018 . https://web.archive.org/web/20180324041022/https://www.csoonline.com/article/3212260/ransomware/the-5-biggest-ransomware-attacks-of-the-last-5-years.html . live .
  49. Web site: Rise of Android Ransomware, research . . 19 October 2017 . 19 October 2017 . https://web.archive.org/web/20171019221531/https://www.welivesecurity.com/wp-content/uploads/2016/02/Rise_of_Android_Ransomware.pdf . live .
  50. Web site: State of Malware, research . . 19 October 2017 . 21 May 2017 . https://web.archive.org/web/20170521075657/https://www.malwarebytes.com/pdf/white-papers/stateofmalware.pdf . live .
  51. O'Kane . Philip . Sezer . Sakir . Carlin . Domhnall . Evolution of ransomware . IET Networks . 7 . 5 . 2018 . 2047-4954 . 10.1049/iet-net.2017.0207 . 321–327.
  52. Web site: Another way Microsoft is disrupting the malware ecosystem . dead . https://web.archive.org/web/20150920143940/http://blogs.technet.com/b/mmpc/archive/2012/11/29/another-way-microsoft-is-disrupting-the-malware-ecosystem.aspx . 20 September 2015 . 18 February 2015.
  53. Web site: Russinovich . Mark . 31 October 2005 . Sony, Rootkits and Digital Rights Management Gone Too Far . 29 July 2009 . Mark's Blog . Microsoft MSDN . 2 June 2012 . https://web.archive.org/web/20120602231838/http://blogs.technet.com/b/markrussinovich/archive/2005/10/31/sony-rootkits-and-digital-rights-management-gone-too-far.aspx . live .
  54. Web site: 2009-12-15. Rating the best anti-malware solutions. 28 January 2014. Arstechnica. 2 February 2014. https://web.archive.org/web/20140202092753/http://arstechnica.com/security/2009/12/av-comparatives-picks-eight-antipua-winners/. live.
  55. Book: Kammerstetter . Markus . Platzer . Christian . Wondracek . Gilbert . Proceedings of the 2012 ACM conference on Computer and communications security . Vanity, cracks and malware . 2012-10-16 . https://doi.org/10.1145/2382196.2382282 . CCS '12 . New York, NY, USA . Association for Computing Machinery . 809–820 . 10.1145/2382196.2382282 . 978-1-4503-1651-4. 3423843 .
  56. Web site: Casey . Henry T. . Henry T. Casey . 25 November 2015 . Latest adware disables antivirus software . 25 November 2015 . Tom's Guide . . 27 November 2015 . https://web.archive.org/web/20151127070904/https://www.yahoo.com/tech/s/latest-adware-disables-antivirus-software-152920421.html . live .
  57. Web site: Peer To Peer Information . 25 March 2011 . NORTH CAROLINA STATE UNIVERSITY . 2 July 2015 . https://web.archive.org/web/20150702143115/http://oit.ncsu.edu/resnet/p2p . live .
  58. Si̇ngh . Jagsir . Si̇ngh . Jaswinder . 2018-09-01 . Challenge of Malware Analysis: Malware obfuscation Techniques . International Journal of Information Security Science . en . 7 . 3 . 100–110 . 10 January 2023 . 10 January 2023 . https://web.archive.org/web/20230110063749/https://dergipark.org.tr/en/pub/ijiss/issue/67171/1048753 . live .
  59. Barecloud: bare-metal analysis-based evasive malware detection. Kirat. Dhilung. Vigna. Giovanni. Kruegel. Christopher. 2014. ACM. 287–301. 978-1-931971-15-7. subscription. 28 November 2018. 1 August 2019. https://web.archive.org/web/20190801213541/https://dl.acm.org/citation.cfm?id=2671244. live.
    Freely accessible at: Web site: Barecloud: bare-metal analysis-based evasive malware detection . 28 November 2018 . 4 March 2016 . https://web.archive.org/web/20160304013726/https://seclab.cs.ucsb.edu/media/uploads/papers/kirat_barecloud_usenix_2014.pdf . dead .
  60. http://www.tripwire.com/state-of-security/security-data-protection/the-four-most-common-evasive-techniques-used-by-malware/ The Four Most Common Evasive Techniques Used by Malware
  61. Young . Adam . Yung . Moti . 1997 . Deniable Password Snatching: On the Possibility of Evasive Electronic Espionage . IEEE . 224–235 . 0-8186-7828-3 . Symp. on Security and Privacy.
  62. Cabaj . Krzysztof . Caviglione . Luca . Mazurczyk . Wojciech . Wendzel . Steffen . Woodward . Alan . Zander . Sebastian . May 2018 . The New Threats of Information Hiding: The Road Ahead . IT Professional . 20 . 3 . 31–39 . 1801.00694 . 10.1109/MITP.2018.032501746 . 22328658.
  63. Sudhakar . Kumar . Sushil . 2020-01-14 . An emerging threat Fileless malware: a survey and research challenges . Cybersecurity . 3 . 1 . 1 . 10.1186/s42400-019-0043-x . 257111442 . 2523-3246 . free .
  64. Penn State WebAccess Secure Login. webaccess.psu.edu. 10.1145/3365001. 219884145 . 2020-02-29. 8 March 2021. https://web.archive.org/web/20210308133613/https://webaccess.psu.edu/?cosign-scripts.libraries.psu.edu&https%3A%2F%2Fscripts.libraries.psu.edu%2Fscripts%2Fezproxyauth.php%3Furl=ezp.2aHR0cHM6Ly9kbC5hY20ub3JnL2RvaS8xMC4xMTQ1LzMzNjUwMDE-. dead.
  65. Web site: Malware Dynamic Analysis Evasion Techniques: A Survey. ResearchGate. en. 2020-02-29. 14 April 2021. https://web.archive.org/web/20210414031228/https://www.researchgate.net/publication/328758559. live.
  66. Book: https://doi.org/10.1109/SISY.2015.7325394. 10.1109/SISY.2015.7325394. Modern binary attacks and defences in the windows environment — Fighting against microsoft EMET in seven rounds. 2015 IEEE 13th International Symposium on Intelligent Systems and Informatics (SISY). 2015. Nemeth. Zoltan L.. 275–280. 978-1-4673-9388-1. 18914754.
  67. Web site: Global Web Browser... Security Trends. Kaspersky lab. November 2012. 17 January 2013. 2 February 2013. https://web.archive.org/web/20130202153249/http://www.kaspersky.com/images/Kaspersky_Report_Browser_Usage_ENG_Final.pdf. live.
  68. Web site: Rashid. Fahmida Y.. Updated Browsers Still Vulnerable to Attack if Plugins Are Outdated. pcmag.com. 27 November 2012. 17 January 2013. https://web.archive.org/web/20160409063012/http://securitywatch.pcmag.com/none/305385-updated-browsers-still-vulnerable-to-attack-if-plugins-are-outdated. 9 April 2016. dead.
  69. Web site: Danchev. Dancho. Kaspersky: 12 different vulnerabilities detected on every PC. pcmag.com. 18 August 2011. 17 January 2013. 5 July 2014. https://web.archive.org/web/20140705182539/http://www.zdnet.com/blog/security/kaspersky-12-different-vulnerabilities-detected-on-every-pc/9283. dead.
  70. Web site: Adobe Security bulletins and advisories . Adobe.com . 19 January 2013 . 15 November 2013 . https://web.archive.org/web/20131115002036/http://www.adobe.com/support/security/ . live .
  71. Rubenking . Neil J. . Secunia Personal Software Inspector 3.0 Review & Rating . PCMag.com . 19 January 2013 . 16 January 2013 . https://web.archive.org/web/20130116064450/http://www.pcmag.com/article2/0,2817,2406767,00.asp . live .
  72. Book: Morales. Jose Andre. Al-Bataineh. Areej. Xu. Shouhuai. Sandhu. Ravi. Analyzing and Exploiting Network Behaviors of Malware . 2010. Jajodia. Sushil. Zhou. Jianying. Security and Privacy in Communication Networks. https://link.springer.com/chapter/10.1007/978-3-642-16161-2_2. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. 50. en. Berlin, Heidelberg. Springer. 20–34. 10.1007/978-3-642-16161-2_2. 978-3-642-16161-2. 2 December 2021. 2 December 2021. https://web.archive.org/web/20211202085918/https://link.springer.com/chapter/10.1007/978-3-642-16161-2_2. live.
  73. Book: Felt. Adrienne Porter. Adrienne Porter Felt. Chin. Erika. Hanna. Steve. Song. Dawn. Wagner. David. Proceedings of the 18th ACM conference on Computer and communications security . Android permissions demystified . 2011-10-17. https://doi.org/10.1145/2046707.2046779. CCS '11. New York, NY, USA. Association for Computing Machinery. 627–638. 10.1145/2046707.2046779. 978-1-4503-0948-6. 895039.
  74. Book: Wu. Sha. Liu. Jiajia. ICC 2019 - 2019 IEEE International Conference on Communications (ICC) . Overprivileged Permission Detection for Android Applications . May 2019. https://ieeexplore.ieee.org/document/8761572. 1–6. 10.1109/ICC.2019.8761572. 978-1-5386-8088-9. 198168673. 1 January 2022. 21 January 2022. https://web.archive.org/web/20220121021339/https://ieeexplore.ieee.org/document/8761572/. live.
  75. Web site: Malware, viruses, worms, Trojan horses and spyware. 2020-11-14. list.ercacinnican.tk. 5 February 2021. https://web.archive.org/web/20210205072901/https://list.ercacinnican.tk/. live.
  76. Book: Singh. Vaishali. Pandey. S. K.. Revisiting Cloud Security Attacks: Credential Attack . 2021. Rathore. Vijay Singh. Dey. Nilanjan. Piuri. Vincenzo. Babo. Rosalina. Polkowski. Zdzislaw. Tavares. João Manuel R. S.. Rising Threats in Expert Applications and Solutions. https://link.springer.com/chapter/10.1007/978-981-15-6014-9_39. Advances in Intelligent Systems and Computing. 1187. en. Singapore. Springer. 339–350. 10.1007/978-981-15-6014-9_39. 978-981-15-6014-9. 224940546. 2 December 2021. 4 March 2022. https://web.archive.org/web/20220304031316/https://link.springer.com/chapter/10.1007/978-981-15-6014-9_39. live.
  77. "LNCS 3786 – Key Factors Influencing Worm Infection", U. Kanlayasiri, 2006, web (PDF): SL40-PDF .
  78. Web site: Cohen. Jason. 2020-08-28. Windows Computers Account for 83% of All Malware Attacks in Q1 2020. 2021-12-02. PCMag Australia. en-au. 2 December 2021. https://web.archive.org/web/20211202085917/https://au.pcmag.com/encryption/68294/windows-computers-account-for-83-of-all-malware-attacks-in-q1-2020. live.
  79. Book: Wagner. Neal. Şahin. Cem Ş.. Winterrose. Michael. Riordan. James. Pena. Jaime. Hanson. Diana. Streilein. William W.. 2016 IEEE Symposium Series on Computational Intelligence (SSCI) . Towards automated cyber decision support: A case study on network segmentation for security . December 2016. https://ieeexplore.ieee.org/document/7849908. 1–10. 10.1109/SSCI.2016.7849908. 978-1-5090-4240-1. 9065830. 1 January 2022. 2 December 2021. https://web.archive.org/web/20211202091053/https://ieeexplore.ieee.org/document/7849908/. live.
  80. Book: Hemberg. Erik. Zipkin. Joseph R.. Skowyra. Richard W.. Wagner. Neal. O'Reilly. Una-May. Proceedings of the Genetic and Evolutionary Computation Conference Companion . Adversarial co-evolution of attack and defense in a segmented computer network environment . 2018-07-06. https://doi.org/10.1145/3205651.3208287. GECCO '18. New York, NY, USA. Association for Computing Machinery. 1648–1655. 10.1145/3205651.3208287. 978-1-4503-5764-7. 51603533.
  81. Web site: Malicious Software Removal Tool. dead. https://web.archive.org/web/20120621103611/http://www.microsoft.com/security/pc-security/malware-removal.aspx. 21 June 2012. 21 June 2012. Microsoft.
  82. Web site: Rubenking. Neil J.. 8 January 2014. The Best Free Antivirus for 2014. pcmag.com. 4 September 2017. 30 August 2017. https://web.archive.org/web/20170830175450/https://www.pcmag.com/article2/0,2817,2388652,00.asp. live.
  83. News: Free antivirus profiles in 2018. antivirusgratis.org. live. 13 February 2020. https://web.archive.org/web/20180810131706/https://www.antivirusgratis.org/. 10 August 2018.
  84. Web site: Quickly identify malware running on your PC. techadvisor.co.uk. 2 September 2018. 2 September 2018. https://web.archive.org/web/20180902220617/https://www.techadvisor.co.uk/download/security/crowdinspect-1500-3329721/. dead.
  85. Web site: How Antivirus Software Works?. 16 October 2015. 12 January 2017. https://web.archive.org/web/20170112193703/https://antivirus.comodo.com/how-antivirus-software-works.php. live.
  86. Guide to Malware Incident Prevention and Handling for Desktops and Laptops . Souppaya . Murugiah . Scarfone . Karen . 2013-07-22 . National Institute of Standards and Technology . NIST Special Publication (SP) 800-83 Rev. 1 . en.
  87. Al-Saleh. Mohammed Ibrahim. Espinoza. Antonio M.. Crandall. Jedediah R.. 2013. Antivirus performance characterisation: system-wide view. IET Information Security. en. 7. 2. 126–133. 10.1049/iet-ifs.2012.0192. 1751-8717. free.
  88. Web site: What is Browser Sandboxing? . GeeksforGeeks . 2024-02-19 . 2024-07-07 . https://web.archive.org/web/20240707050014/https://www.geeksforgeeks.org/what-is-browser-sandboxing/ . 2024-07-07 . live.
  89. Web site: What is browser sandboxing? How to escape the sandbox? . misile00's personal website . 2024-06-15 . 2024-07-07 . https://web.archive.org/web/20240424000722/https://misile00.github.io/notes/Browser-Sandboxing . 2024-04-24 . live.
  90. Guri . Mordechai . Kedma . Gabi . Kachlon . Assaf . Elovici . Yuval . 2014 9th International Conference on Malicious and Unwanted Software: The Americas (MALWARE) . AirHopper: Bridging the air-gap between isolated networks and mobile phones using radio frequencies . IEEE . 2014 . 978-1-4799-7329-3 . 10.1109/MALWARE.2014.6999418 . 58–67. 1411.0237 .
  91. Guri . Mordechai . Monitz . Matan . Mirski . Yisroel . Elovici . Yuval . 2015 IEEE 28th Computer Security Foundations Symposium . BitWhisper: Covert Signaling Channel between Air-Gapped Computers Using Thermal Manipulations . IEEE . 2015 . 978-1-4673-7538-2 . 10.1109/CSF.2015.26 . 276–289. 1503.07919 .
  92. Guri . Mordechai . Kachlon . Assaf . Hasson . Ofer . Kedma . Gabi . Mirsky . Yisroel . Elovici . Yuval . GSMem: Data Exfiltration from Air-Gapped Computers over GSM Frequencies . USENIX Security Symposium . 2015 . 978-1-939133-11-3 . https://web.archive.org/web/20240301215837/https://www.usenix.org/system/files/sec15-paper-guri-update_v2.pdf . 2024-03-01 . live.
  93. 1606.05915. Hanspach. Michael. Fansmitter: Acoustic Data Exfiltration from (Speakerless) Air-Gapped Computers. Goetz. Michael. Daidakulov. Andrey. Elovici. Yuval. cs.CR. 2016.
  94. Razak . Mohd Faizal Ab . Anuar . Nor Badrul . Salleh . Rosli . Firdaus . Ahmad . 2016-11-01 . The rise of "malware": Bibliometric analysis of malware study . Journal of Network and Computer Applications . 75 . 58–76 . 10.1016/j.jnca.2016.08.022 . 1084-8045.

This article is licensed under the GNU Free Documentation License. It uses material from the Wikipedia article "Malware".

Except where otherwise indicated, Everything.Explained.Today is © Copyright 2009-2024, A B Cryer, All Rights Reserved. Cookie policy.