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A new Flodrix botnet variant is actively targeting vulnerable Langflow AI servers by exploiting a critical remote code execution (RCE) vulnerability tracked as CVE-2025-3248. Langflow, a Python-based visual framework used for building artificial intelligence (AI) applications, contains a missing authentication vulnerability that enables unauthenticated attackers to execute arbitrary code via crafted HTTP requests. Cybersecurity researchers at Trend Micro have highlighted this ongoing campaign, revealing that attackers are leveraging the flaw to execute downloader scripts on compromised Langflow servers. These scripts then fetch and install the Flodrix malware, ultimately leading to full system compromise.
Trend Micro's analysis reveals that attackers are exploiting CVE-2025-3248, which has a CVSS score of 9.8, by using publicly available proof-of-concept (PoC) code to target unpatched, internet-exposed Langflow instances. The vulnerability lies in the lack of input validation or sandboxing within Langflow, allowing malicious payloads to be compiled and executed within the server's context. The downloader scripts retrieve the Flodrix botnet malware from a specified host and, once installed, Flodrix establishes communication with a remote server via TCP to receive commands for launching distributed denial-of-service (DDoS) attacks against targeted IP addresses. Flodrix also supports connections over the TOR anonymity network.
The Flodrix botnet is considered an evolution of the LeetHozer botnet, linked to the Moobot group. This improved variant incorporates stealth techniques, including the ability to discreetly remove itself, minimize forensic traces, and obfuscate command-and-control (C2) server addresses, making analysis more challenging. Further enhancements include new, encrypted DDoS attack types. Organizations using Langflow are urged to immediately patch their systems to version 1.3.0 or later, which addresses CVE-2025-3248. Furthermore, implementing robust network monitoring is crucial to detect and mitigate any botnet activity resulting from this vulnerability.
ImgSrc: blogger.googleu
References :
Trend Micro's analysis reveals that attackers are exploiting CVE-2025-3248, which has a CVSS score of 9.8, by using publicly available proof-of-concept (PoC) code to target unpatched, internet-exposed Langflow instances. The vulnerability lies in the lack of input validation or sandboxing within Langflow, allowing malicious payloads to be compiled and executed within the server's context. The downloader scripts retrieve the Flodrix botnet malware from a specified host and, once installed, Flodrix establishes communication with a remote server via TCP to receive commands for launching distributed denial-of-service (DDoS) attacks against targeted IP addresses. Flodrix also supports connections over the TOR anonymity network.
The Flodrix botnet is considered an evolution of the LeetHozer botnet, linked to the Moobot group. This improved variant incorporates stealth techniques, including the ability to discreetly remove itself, minimize forensic traces, and obfuscate command-and-control (C2) server addresses, making analysis more challenging. Further enhancements include new, encrypted DDoS attack types. Organizations using Langflow are urged to immediately patch their systems to version 1.3.0 or later, which addresses CVE-2025-3248. Furthermore, implementing robust network monitoring is crucial to detect and mitigate any botnet activity resulting from this vulnerability.
ImgSrc: blogger.googleu
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References :
- The Hacker News: New Flodrix Botnet Variant Exploits Langflow AI Server RCE Bug to Launch DDoS Attacks
- securityaffairs.com: News Flodrix botnet targets vulnerable Langflow servers
- securityonline.info: Langflow Under Attacks: CVE-2025-3248 Exploited to Deliver Stealthy Flodrix Botnet