
Redazione RHC : 13 December 2025 16:24
A recent report from the Google Threat Intelligence Group (GTIG) illustrates the chaotic results of this information dissemination, highlighting how savvy adversaries have already gained a foothold within targeted networks.
A critical vulnerability, identified as CVE-2025-55182, was reported to the security community on December 3, 2025, affecting React Server Components (RSC). This security flaw, with a maximum CVSS score of 10.0, allows attackers to execute arbitrary code on a server by sending a single, specially crafted HTTP request, without requiring authentication.
The cyber community reacted swiftly. Immediately after the public announcement, numerous threat clusters were widely exploited, as noted by the Google Threat Intelligence Group (GTIG), which noted activity from opportunistic cybercriminal groups to suspected espionage operators.
Because React and Next.js are fundamental to the modern web, the attack surface is enormous. “GTIG considers CVE-2025-55182 a critically endangered vulnerability.” The most alarming activity identified in the report comes from threat actors linked to China , who quickly integrated the exploit into their arsenals to distribute specialized malware. The GTIG identified several distinct campaigns:
“GTIG has identified distinct campaigns exploiting this vulnerability to distribute a MINOCAT tunneler, a SNOWLIGHT downloader, a HISONIC backdoor, and a COMPOOD backdoor, as well as XMRIG cryptocurrency miners, some of which overlap with previously reported activity by Huntress .”
In addition to espionage, financially motivated criminals also joined the fray starting on December 5th, using XMRig miners to hijack server resources and generate cryptocurrency.
The chaos was further compounded by a wave of misinformation. In the first hours after the disclosure , the internet was flooded with fake exploits. A major repository , “which initially claimed to be a legitimate functional exploit, has now updated its README file to correctly label the initial research claims as AI-generated and non-functional.”
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