CVE-2026-55768
Raw vector
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:XCVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.
Summary
CVE-2026-55768 is a high-severity Incorrect Conversion between Numeric Types (CWE-681) vulnerability. Its CVSS base score is 8.7 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploitation for Privilege Escalation (T1068); ranked at the 29th 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-11 (Developer Testing and Evaluation) and SI-10 (Information Input Validation) — see the control section below for these in your framework.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-51305
Vulnerability Data
GoAccess is a real-time web log analyzer and interactive viewer that runs in a terminal in *nix systems or through the browser. Prior to version 1.11, the built-in WebSocket server narrows a 64-bit extended frame length into the signed 32-bit…
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WSFrame.payloadlen field before enforcing the maximum frame size, allowing an unauthenticated remote client to bypass the guard and force an approximately 18-exabyte allocation request that terminates the process. This issue is fixed in version 1.11.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation can discover incorrect numeric conversions through targeted test cases.
Input validation directly rejects or bounds untrusted size values before any allocation occurs.
Engineering principles can mandate safe numeric handling and range checks that structurally avoid bad conversions.
Resource quotas and priority allocation limit the system-wide impact of an oversized request.
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 require code reviews, static analysis, and developer training that catch and prevent numeric type-conversion errors.
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.
Secure development lifecycle includes type-safety and conversion checks that reduce numeric truncation risks.
Application security requirements can mandate safe numeric handling and range validation.
Secure architecture principles promote strong typing and safe conversion practices.
Secure coding standards directly address correct numeric type conversions and overflow checks.
Security testing can detect numeric conversion defects before release.