PatchSiren cyber security CVE debrief
CVE-2026-76993 GreyDGL CVE debrief
AI-assisted PatchSiren debrief based on the supplied source corpus. The CVE record was published on 2026-08-20T15:18:40.013Z and has not been modified since then. The vulnerability affects GreyDGL PentestGPT up to version 1.0.0, specifically in the Web-Page Crawling component, allowing for injection attacks through manipulation of the Traceback argument. The attack can be executed remotely but has a high complexity level and is considered difficult to exploit.
- Vendor
- GreyDGL
- Product
- PentestGPT
- CVSS
- LOW 1.3
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-08-20
- Original CVE updated
- 2026-08-24
- Advisory published
- 2026-08-20
- Advisory updated
- 2026-08-24
Who should care
Users of GreyDGL PentestGPT up to version 1.0.0 should verify their installations and apply patches if available. Security teams should monitor for suspicious activity related to the Traceback argument in the Web-Page Crawling component. Affected operators and platforms should review their configurations and ensure proper mitigations are in place. Vulnerability management and security teams should prioritize patching and verify affected scope.
Technical summary
The CVE-2026-76993 vulnerability affects GreyDGL PentestGPT up to version 1.0.0. It is located in the Web-Page Crawling component and allows for injection attacks through manipulation of the Traceback argument. The attack can be executed remotely but has a high complexity level and is considered difficult to exploit. The vulnerability has been publicly disclosed and the exploit may be utilized. The reported GitHub issue was closed with the label 'not planned'.
Defensive priority
Low complexity attacks may be feasible with specific conditions; verify and apply vendor patches if available.
Recommended defensive actions
- Verify the version of GreyDGL PentestGPT and apply patches if available.
- Restrict access to the Web-Page Crawling component.
- Monitor for suspicious activity related to the Traceback argument.
- Review compensating controls for exposed systems while remediation is scheduled and verified.
- Check relevant monitoring, detection, and logs for exposed assets that need extra review.
- Track exceptions, retest remediated assets, and close the item only after evidence is documented.
- Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up.
Evidence notes
The CVE-2026-76993 vulnerability was found in GreyDGL PentestGPT up to 1.0.0. The Web-Page Crawling component is affected by an injection vulnerability through the Traceback argument. Remote exploitation is possible but requires high complexity. The exploit has been publicly disclosed. The reported GitHub issue was closed with the label 'not planned'.
Sources and references
Verified primary and authoritative sources
-
CVE-2026-76993 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2026-76993
CVE Program - Official CVE Program record with source-provided CVE metadata.
-
CVE-2026-76993 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2026-76993
NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.
Supplemental references
-
Source reference
Unverified legacy reference
URL: https://github.com/GreyDGL/PentestGPT/
-
Source reference
Unverified legacy reference
URL: https://github.com/GreyDGL/PentestGPT/issues/484
-
Source reference
Unverified legacy reference
URL: https://github.com/ez-lbz/pentestgpt-vul-report
-
Source reference
Unverified legacy reference
URL: https://vuldb.com/cve/CVE-2026-76993
-
Source reference
Unverified legacy reference
URL: https://vuldb.com/submit/880116
-
Source reference
Unverified legacy reference
URL: https://vuldb.com/vuln/393617
-
Source reference
Unverified legacy reference
URL: https://vuldb.com/vuln/393617/cti
Methodology and review provenance
AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.