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: March 15, 2025~March 21, 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 49 new detectable malicious code families, 71,144 new detectable malicious code variants, and 67,211 new detection rules.

The following table shows the TOP5 newly detectable malicious code families:

Number	Virus Name	Virus Description
1	Trojan/Win32.GoStealer	This family is a Trojan virus that enters the victim’s computer system by deceiving the user or carrying other malware. Once infected, it runs in the background and steals sensitive information in a hidden way, monitors the user’s activities and sends data to remote servers.
2	Trojan/Win32.Wansrog[Downloader]	This family is a Trojan virus that usually sneaks into the user’s computer in the form of a downloader to remotely control the computer or download other malware. Once infected, it may cause serious damage to the user’s computer system.
3	Trojan/MSIL.Bomitag	This family is a Trojan virus that usually disguises itself as some normal files or programs to deceive users into installing them. Once infected, it will perform various malicious behaviors, including stealing users’ personal information and monitoring users’ network activities.
4	Trojan/VBS.Herdceded	This family is a Trojan virus that mainly uses the VBS scripting language. It can perform various attacks through potential malicious behaviors and is deeply hidden, making it difficult to be detected by antivirus software.
5	Trojan/MSIL.Thraixils[PSW]	This family is a Trojan virus that is mainly spread through phishing emails, malicious download links or software. After infecting the user’s computer, it will hide itself and steal the user’s sensitive information, such as account passwords, bank card information, etc., thereby endangering the user’s privacy and security.

(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 March 21, 2025, the AVL SDK anti-virus engine can detect 17,917,615 malicious code variants of 56,101 malicious code families distributed in 8 basic categories, with a total of 56,075,143 detection rules.

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

Type	Detectable Malicious Code (Types)	Detection rules (Items)
Infectious viruses	57,722	9,576,794
Worms	302,430	5,508,324
Trojans	12,958,291	33,565,062
Hacking tools	442,072	463,330
Risk tools	1,186,495	2,973,532
Rogue software	2,970,581	3,978,621
Junk files	10	1,518
Test programs (for self-test)	14	7,962
Total	17,917,615	56,075,143

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 malicious code payloads, the AVL SDK is used in conjunction with the malicious code 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 malicious code detection capabilities, and receive continuous updates through the virus database.

For eight malicious code 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 malicious code variants. The detection capability fully covers all known malicious codes 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 malicious code. 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).