CVE-2026-22041
Armurox Logging Redactor ≤ 0.0.6
Raw vector
CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:N/VC:N/VI:L/VA:N/SC:N/SI:N/SA:N/E:P/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-2026-22041 is a low-severity Incorrect Type Conversion or Cast (CWE-704) vulnerability in Armurox Logging Redactor. Its CVSS base score is 2.0 (Low).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploitation for Privilege Escalation (T1068); ranked at the 15th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SA-15 (Development Process, Standards, and Tools) — see the control section below for these in your framework.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-1160
Vulnerability Data
Logging Redactor is a Python library designed to redact sensitive data in logs based on regex patterns and / or dictionary keys. Prior to version 0.0.6, non-string types are converted into string types, leading to type errors in %d conversions.…
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The problem has been patched in version 0.0.6. No known workarounds are available.
- 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 (static analysis, fuzzing, unit tests) directly finds incorrect type conversions or casts.
Requiring documented development standards and tools can mandate safe typing, casting rules, and compiler checks that stop the weakness from being introduced.
Security engineering principles can require type-safe design and casting practices that structurally avoid incorrect conversions.
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 type-conversion flaws via coding standards, reviews, 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 uncover type-conversion defects before release.
Secure development lifecycle includes type-safety reviews that reduce incorrect casts.
Application security requirements can mandate strong typing and safe casting rules.
Secure architecture principles discourage unsafe type conversions in design.
Secure coding standards directly forbid or detect incorrect type casts.