Antiy AVL SDK Anti-virus Engine Upgrade Announcement (20240504)

1. Weekly Update

Statistical period: April 27, 2024 ~ May 3, 2024

Antiy AVL SDK anti-virus engine released a total of 84 virus database updates this week, with an average of 12 updates per day, adding 46 new detectable malware families, 6,619 new detectable malware variants, and 18,898 new detection rules.

The following table shows the TOP5 newly detectable malware families:

Number Virus Name Virus Description
1 Trojan/Win32.FakeDoc[Backdoor] This family is a kind of Trojan, which usually spreads by exploiting system vulnerabilities or social engineering and other means. Users may be implanted with backdoor programs without their knowledge, leading to problems such as the leakage of personal privacy information, system crashes, and even remote control by hackers.
2 RiskWare/Win32.ActivityMonitor This family is a type of risk software, typically used to monitor users’ activities and record behaviors on the monitored computer. It can run silently in the background and resist the detection and blocking mechanisms of some antivirus software.
3 GrayWare/Win32.WebBar[AdWare] This family is a kind of gray software, usually aimed at deceiving users, invading user privacy or occupying system resources, etc. Its main feature is that it appears in the form of a regular application, but potentially has functions such as pop-up Windows, pop-up advertisements or displaying advertisements in the browser.
4 HackTool/Win64.NSudo This family is a kind of hacking tool, usually used to bypass system permission restrictions, obtain advanced system permissions or carry out potential malicious activities, bringing serious security risks to the system, which may lead to personal information leakage, system crash and even remote control risks.
5 Trojan/MSIL.Renamer This family is a type of Trojan that infects users’ computers through online downloads, malicious links, spam emails and other means. It often performs malicious operations such as tampering with and renaming files.

(According to the HASH number of family samples within the period)

For more related content, please visit www.virusview.net (the Computer Virus Encyclopedia).

2. Full Detection Capabilities

As of 24:00 on May 3, 2024, the AVL SDK anti-virus engine can detect 17,041,020 malware variants of 54,656 malware families distributed in 8 basic categories, with a total of 59,557,601 detection rules.

The detection capabilities and the number of rules classified by malware are as follows:

Type Detectable malware (Types) Detection rules (Items)
Infectious viruses 52,839 10,414,132
Worms 290,003 5,969,124
Trojans 12,214,451 35,473,094
Hacking tools 424,490 452,581
Risk tools 1,152,327 3,178,657
Rogue software 2,906,891 4,068,278
Junk files 11 1,650
Test programs (for self-test) 8 85
Total 17,041,020 59,557,601

Preprocessing Capabilities (partial) :

There are 31 types of unpackable executable packers and 132 types of recognizable or extractable packages (including self-extracting archives).

Supporting Knowledge Output Capabilities:

For malware payloads, the AVL SDK is used in conjunction with the malware knowledge base, which can output 533 types of key behavior mapping tags and 139 types of ATT&CK threat attack framework technical and tactical tags, with a coverage rate of 64.29%, basically covering all the statically detectable tags in the ATT&CK framework.

Appendix: Introduction to Antiy AVL SDK Anti-Virus Engine

Antiy AVL SDK anti-virus engine is a threat detection capability middleware developed by Antiy for all architectures and system platforms. By embedding the AVL SDK, Antiy products and ecosystem partners’ products can acquire virus and malware detection capabilities, and receive continuous updates through the virus database.

For eight malware categories including infectious viruses, worms, Trojans, hacking tools, gray software, risky software, junk files, and test files, it accurately identifies and detects over 50,000 families and 18 million malware variants. The detection capability fully covers all known malwares and strictly adheres to the CARO convention. The output is structured and named in sections by classification, environment, and family, and based on the behavioral capabilities of malicious samples, it outputs nearly a hundred types of malicious behavior tags for typical malicious behaviors such as encryption ransomware, data theft, remote control, botnet programs, and mining. Antiy Engine can recognize over 300 file formats and conduct in-depth preprocessing on compilable executable formats such as PE and ELF. It also performs recursive unpacking of various packages (including self-extracting archives), and conduct structural analysis of compound documents such as OFFICE and ACAD files that may contain embedded scripts or vulnerability-prone formats. This ensures high robustness against malware. Antiy Engine also comes with a trusted file signature library, supporting the product to implement security policies based on blacklist and whitelist controls, significantly enhancing the difficulty for attackers.

Antiy’s detection capabilities can be fully deployed locally. Antiy automatically analyzes and processes over 2 million new file objects on average every day and releases a virus database update every two hours. It also provides support services such as cloud detection, cloud analysis, and computer virus encyclopedia.

Antiy AVL SDK is available in various versions such as traditional PC hosts, smart terminals, network traffic, IT application innovation systems, industrial systems, and unmanned systems. It provides threat detection capabilities for scenarios including host system and workload security, network traffic security, business flow security, email and file service security, etc. It fully supports various architectures such as X86, ARM, MIPS (including Cavium), RISC, and PowerPC, supports a variety of mainstream operating systems including domestic operating systems, Linux, and Windows, as well as real-time industrial operating systems like Vxwork. It also supports high-speed detection in backbone network scenarios.

Antiy AVL SDK empowers over 100 industry partners. In addition to Antiy’s own product deployment, Antiy Engine has cumulatively covered more than 4 billion nodes (including mobile terminals, secure and controllable PC endpoints, cloud-native nodes, network devices, network security devices, etc.), providing inherent security detection capabilities for mobile phones and smart terminals. The main partners using Antiy Engine include mobile phone enterprises such as Huawei, Xiaomi, Honor, VIVO and OPPO, large Internet enterprises such as Ant Financial, and several listed cybersecurity companies. Partner products using Antiy Engine have won internationally renowned evaluation awards such as AV-TEST and NSS Labs. The “L Tomahawk” logo of AVL SDK has become a symbol of reliable anti-virus capabilities.

All of Antiy’s products, including but not limited to IEP security protection system product family, Unified Workload Protect, Persistent Threat Detection System (PTD), Persistent Threat Analysis System (PTA), Attack Capture System, Qingzhu Zhiyu WAF, etc., all use Antiy anti-virus engine.

The AVL SDK anti-virus engine has been under development since 2001 and has undergone significant version upgrades and iterations. It has successively received support from key national initiatives, including: the Ministry of Science and Technology’s Innovation Fund for Technology-based Firms (2004), the Ministry of Science and Technology’s National High-Tech R&D Program (863 Program) (2006), the National Development and Reform Commission’s Information Security Special Project (2008), and the Ministry of Industry and Information Technology’s Engineering Special Project (2019). The mobile version of AVL SDK won the 2014 AV-TEST Best Protection Award for Mobile Devices. Products powered by the AVL SDK, Antiy PTD and PTA, won first place in both the first and second National Cybersecurity Technology Challenge competitions hosted by the National Computer Network Emergency Response Technical Team/Coordination Center of China (CNCERT/CC).