Based on the principles of transparency, accessibility, usability, verifiability and perceptibility of security capabilities, Antiy releases weekly updates of the AVL SDK anti-virus engine and the full set of capabilities to the public every week.

1. Weekly Update

Statistical period: Dec 28, 2024 ~ Jan 03, 2025

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 32 new detectable malware families, 3,806 new detectable malware variants, and 19,153 new detection rules.

The following table shows the TOP5 newly detectable malware families:

Number	Virus Name	Virus Description
1	Trojan/MSIL.Surveytiab	This family is a kind of Trojan that enters the victim’s computer system by deceiving users or carrying other malicious software. Once infected, it will run in the background and steal sensitive information in a hidden way, monitor the user’s activities and send data to the remote server.
2	Trojan/JS.Malaie[Downloader]	This family is a kind of Trojan. It mainly attacks the target system by downloading and executing malicious scripts. It has strong download and execution capabilities and can bypass the detection mechanism of anti-virus software, posing a serious threat to the system.
3	HackTool/Win64.Malstackz[VirTool]	This family is a kind of hacking tool. It mainly spreads by infiltrating user systems, operating system vulnerabilities or software vulnerabilities, and hides its malicious programs in the system to steal user information, damage system functions and pose a serious threat to the system.
4	Trojan/Win32.Molerats[Dropper]	This family is a kind of Trojan, mainly spreading through online downloads. It has the characteristics of independent transmission and strong concealment. It will try to hide itself, steal users’ sensitive information, and damage the security and stability of the system.
5	HackTool/Linux.DiscordGo[VirTool]	This family is a kind of hacking tool, which is usually used for cyber attacks, information theft and system damage. Once infected, it may lead to serious consequences such as personal privacy leakage and system crash.

(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 Jan 03, 2025, the AVL SDK anti-virus engine can detect 17,514,604 malware variants of 58,185 malware families distributed in 8 basic categories, with a total of 55,110,598detection rules.

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

Type	Detectable malware (Types)	Detection rules (Items)
Infectious viruses	58,111	9,493,159
Worms	296,466	5,455,462
Trojans	12,595,561	32,926,772
Hacking tools	434,409	449,144
Risk tools	1,176,097	2,932,228
Rogue software	2,953,934	3,844,435
Junk files	12	1,505
Test programs (for self-test)	14	7,893
Total	17,514,604	55,110,598

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).