AV-Comparatives test spotlights home-PC risk from new x47.c botnet
AV-Comparatives published its September 2026 Malware Protection Test after a new Windows botnet, x47.c, surfaced as a threat to home users and small offices. Six of 20 consumer security products earned the top ADVANCED+ award, with protection and false positives both shaping the results.
Why it matters: - x47.c targets ordinary Windows PCs, not just corporate networks. - The botnet is designed to steal passwords, browser cookies, crypto wallet data and AI service tokens. - Infected home PCs can also be turned into proxies or DDoS nodes, putting family users, freelancers and small offices at risk. - AV-Comparatives says independent testing helps buyers choose security software that blocks malware without flooding users with false alarms.
What happened: - AV-Comparatives published its Malware Protection Test September 2026 and evaluated 20 consumer security products for Windows. - The lab used 10,000 malware samples and measured whether products stopped malicious files before, during and after execution. - Six products earned ADVANCED+: Bitdefender, ESET, G DATA, Kaspersky, Total Defense and VIPRE. - The test also included a false alarm check. - A full report is available here.
The details: - Researchers at Qrator Research Labs reported on x47.c in early October 2026. - The botnet was advertised by a threat actor calling itself WraithTools. - Qrator said x47.c bundles credential theft, DDoS attacks, proxying and a feature that drains paid AI accounts. - The malware can harvest saved browser passwords and cookies, collect Discord tokens and pull crypto wallet data. - An advertised “AI Stealth” module uses xAI’s Grok to decide how the malware stays active after a reboot. - Qrator said its findings are based on seller advertising and documentation, so they show what x47.c is designed to do, not how widely it has spread. - Qrator also warned that removing the malware does not restore credentials that were already stolen. - Fifteen of the 20 products reached the highest protection cluster, but false alarms affected the final award level. - Products in the ADVANCED tier were Avast, AVG, F-Secure, Fortect, Norton and TotalAV. - Products rated STANDARD were McAfee and Microsoft. - Products listed as TESTED only were K7, Malwarebytes, Panda, Quick Heal, Sophos and Trend Micro. - Offline detection rates ranged from 40.2% to 97.3%, showing that cloud dependence can matter when a device loses internet access. - The test examined infection routes including network drives, USB devices and malware already on disk. - Every sample was scanned offline and online, then executed if undetected so behavioral protection could be measured. - A miss counted when a product did not prevent or reverse all changes made by the malware. - The separate false alarm test checked how well each product distinguished clean files from malicious ones.
Between the lines: - The x47.c case shows how commodity malware now targets personal devices as infrastructure for crime. - Protection rates alone do not tell the full story because a product can miss too much, or create too many false positives, and still fail real users. - The spread between offline detection scores suggests that users cannot assume cloud-connected protection will work the same way on every device. - AV-Comparatives’ setup favors practical defense, not just static file detection.
What's next: - AV-Comparatives recommends that buyers compare several recent test reports before choosing a product. - The organization also advises weighing price, usability, compatibility and support, and trying a free trial before purchase. - Home users and small offices are expected to keep facing botnets that target credentials, crypto assets and remote-work logins.
The bottom line: - x47.c is another reminder that home PCs are valuable targets. - AV-Comparatives says tested security software remains a key defense, especially for users without dedicated IT support.
Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.
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