Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:LSummary
CVE-2025-55181 is a medium-severity Excessive Iteration (CWE-834) vulnerability in Facebook Proxygen. Its CVSS base score is 5.3 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Endpoint Denial of Service (T1499); ranked at the 21th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
The strongest mitigations our analysis identified map to SA-8 (Security and Privacy Engineering Principles) and SC-6 (Resource Availability) — see the control section below for these in your framework.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-200372
Vulnerability Data
Sending an HTTP request/response body with greater than 2^31 bytes triggers an infinite loop in proxygen::coro::HTTPQuicCoroSession which blocks the backing event loop and unconditionally appends data to a std::vector per-loop iteration. This issue leads to unbounded memory growth and eventually…
more
causes the process to run out of memory.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
—
—
- 2 hardening rules · 2 OS baselines
—
Mitigating Controls (NIST 800-53 r5) AI
Engineering principles can require developers to bound all loops and iterations at design time.
Resource quotas limit the CPU/time impact of an excessively long loop without eliminating the flaw.
Input validation can reject or sanitize data that would otherwise drive unbounded iteration.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Secure SDLC practices directly prevent unbounded loops via code review, static analysis, and testing.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Security testing can detect excessive iteration through stress and fuzz testing.
Secure development lifecycle requires input validation and loop bounds, directly limiting excessive iteration.
Application security requirements include resource-consumption limits that prevent unbounded loops.
Secure architecture principles mandate defensive coding patterns such as loop termination checks.
Secure coding standards explicitly forbid unbounded loops and require explicit iteration limits.