CVE-2024-8003
Published: 20 August 2024
Summary
CVE-2024-8003 is a medium-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Gotribe Gotribe-Admin. Its CVSS base score is 5.1 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 34.8% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-48878
Vulnerability details
A vulnerability was found in Go-Tribe gotribe-admin 1.0 and classified as problematic. Affected by this issue is the function InitRoutes of the file internal/app/routes/routes.go of the component Log Handler. The manipulation leads to deserialization. The patch is identified as 45ac90d6d1f82716f77dbcdf8e7309c229080e3c.…
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It is recommended to apply a patch to fix this issue.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
Deserialization vulnerability (CWE-502) in the Go-Tribe gotribe-admin web application's log handler routes enables remote exploitation of a public-facing application.
Affected Assets
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.
Penetration testing supplies malicious serialized objects, detecting unsafe deserialization and supporting corrective actions.
Evaluation of untrusted data handling (deserialization testing) reveals unsafe processing, which the required remediation process addresses.
Untrusted serialized data can be deserialized and observed inside the chamber, blocking gadget-chain exploitation outside the sandbox.
Validates or rejects untrusted serialized data before deserialization occurs.
Identifies and blocks malicious code introduced through deserialization of untrusted data at system boundaries.
Integrity verification of serialized information can detect tampering before deserialization occurs.
Provenance of associated data allows detection of untrusted sources before deserialization or processing occurs.