Cyber Resilience

CVE-2021-29507

Medium

Published: 28 May 2021

Published
28 May 2021
Modified
21 November 2024
KEV Added
Patch
CVSS Score v3.1 5.7 CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:N/I:N/A:H
EPSS Score 0.0026 49.9th percentile
Risk Priority 12 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2021-29507 is a medium-severity Improper Input Validation (CWE-20) vulnerability in Genivi Diagnostic Log And Trace. Its CVSS base score is 5.7 (Medium).

Operationally, ranked at the 49.9th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

EU & UK References

Vulnerability details

GENIVI Diagnostic Log and Trace (DLT) provides a log and trace interface. In versions of GENIVI DLT between 2.10.0 and 2.18.6, a configuration file containing the special characters could cause a vulnerable component to crash. All the applications which are…

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using the configuration file could fail to generate their dlt logs in system. As of time of publication, no patch exists. As a workaround, one may check the integrity of information in configuration file manually.

CWE(s)

Related Threats

No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.

Affected Assets

genivi
diagnostic log and trace
2.10.0 — 2.18.6

Mitigating Controls

Likely Mitigating Controls AI

Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.

addresses: CWE-20

Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.

addresses: CWE-20

Security testing and evaluation at multiple SDLC stages directly detects missing or flawed input validation, with the required remediation process ensuring fixes are applied.

addresses: CWE-20

Directly implements checks on information inputs to reject invalid data before processing.

addresses: CWE-20

Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.

References