Evidence used
- No CISA KEV confirmation is currently recorded.
- The selected CVSS metric records a network-reachable, unauthenticated path with no user interaction.
- EPSS is 0.82% for the current model date.
BlackTreeCVE IntelligenceGiskard-AI · giskard
Official source article: GitHub GHSA-PJWM-CR36-MWV3 ↗. Check the applicable product and release in the original source.
Medium technical severity with no CISA KEV confirmation; remediate through the normal risk-based patch cycle unless local exposure raises the priority.
These OSV and GitHub advisory ranges apply only to the named package and ecosystem. A listed fixed version is not a universal product patch or proof that an update is installed.
| Ecosystem and package | Affected range | First fixed version | Evidence |
|---|---|---|---|
| pipgiskard | <= 2.15.4 | 2.15.5 | GitHub advisory ↗upstream repository advisory · 14 Nov 2024 |
Medium technical severity with no CISA KEV confirmation; remediate through the normal risk-based patch cycle unless local exposure raises the priority.
Fix not verifiedGiskard is an evaluation and testing framework for AI systems. A Remote Code Execution (ReDoS) vulnerability was discovered in Giskard component by the GitHub Security Lab team. When processing datasets with specific text patterns with Giskard detectors, this vulnerability could trigger exponential regex evaluation times, potentially leading to denial of service. Giskard versions prior to 2.15.5 are affected.
Giskard is an evaluation and testing framework for AI systems. A Remote Code Execution (ReDoS) vulnerability was discovered in Giskard component by the GitHub Security Lab team. When processing datasets with specific text patterns with Giskard detectors, this vulnerability could trigger exponential regex evaluation times, potentially leading to denial of service. Giskard versions prior to 2.15.5 are affected.
The product uses a regular expression with a worst-case computational complexity that is inefficient and possibly exponential.
An attacker operating through a network path may attempt exploitation without authentication or user interaction. If successful, the issue may execute code or commands in the affected security context.
Giskard is an evaluation and testing framework for AI systems. A Remote Code Execution (ReDoS) vulnerability was discovered in Giskard component by the GitHub Security Lab team. When processing datasets with specific text patterns with Giskard detectors, this vulnerability could trigger exponential regex evaluation times, potentially leading to denial of service. Giskard versions prior to 2.15.5 are affected.
The product uses a regular expression with a worst-case computational complexity that is inefficient and possibly exponential.
An attacker operating through a network path may attempt exploitation without authentication or user interaction. If successful, the issue may execute code or commands in the affected security context.
CVSS severity, EPSS forecast probability, public exploit material and CISA-confirmed exploitation are separate signals.
No CISA KEV match was present at the last successful refresh. This means no confirmation from that source, not proof of no exploitation.
No exploit-tagged reference or CISA SSVC proof-of-concept state is currently recorded. Research may still exist outside the structured feeds.
CWE-1333: Inefficient Regular Expression Complexity. The product uses a regular expression with a worst-case computational complexity that is inefficient and possibly exponential.
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N/U:ClearCommon Vulnerability Scoring System 4.0: the compact vector below is decoded into plain language.
Operational remediation based on structured source evidence.
Published 14 Nov 2024 · Last source change 21 Nov 2024, 14:56 UTC · CWE-1333 · Inefficient Regular Expression Complexity
Core structured fields are present and their contributing authorities are shown above.
No material field changes have been recorded since change tracking began. Routine source refreshes and cosmetic edits are intentionally excluded.