CVE-2026-76993: Injection in GreyDGL PentestGPT
CVE-2026-76993 is an injection vulnerability in GreyDGL PentestGPT version 1.0.0 affecting the Web-Page Crawling component. The vulnerability involves manipulation of the Traceback argument and can be exploited remotely. The attack complexity is high, and exploitability is considered difficult. The exploit has been publicly disclosed, but no official patch or remediation is planned by the vendor.
AI Analysis
Technical Summary
This vulnerability in GreyDGL PentestGPT up to version 1.0.0 allows remote attackers to perform injection attacks by manipulating the Traceback argument within the Web-Page Crawling component. The attack requires high complexity and is difficult to exploit. Although the exploit has been publicly disclosed, the vendor has closed the related GitHub issue with a 'not planned' label, indicating no intention to provide a fix.
Potential Impact
Successful exploitation could allow an attacker to inject malicious input remotely via the Traceback argument, potentially impacting the integrity or behavior of the affected component. However, the CVSS score of 2.3 and the low severity rating indicate limited impact and low likelihood of successful exploitation due to high complexity.
Mitigation Recommendations
No official fix or patch is currently available, and the vendor has indicated no plans to address this vulnerability. Users should consider risk acceptance or implement compensating controls if possible. Patch status is not yet confirmed — check the vendor advisory for current remediation guidance.
CVE-2026-76993: Injection in GreyDGL PentestGPT
Description
CVE-2026-76993 is an injection vulnerability in GreyDGL PentestGPT version 1.0.0 affecting the Web-Page Crawling component. The vulnerability involves manipulation of the Traceback argument and can be exploited remotely. The attack complexity is high, and exploitability is considered difficult. The exploit has been publicly disclosed, but no official patch or remediation is planned by the vendor.
CVSS v4.0
Score 2.3low
Affected software
pkg:github/greydgl/PentestGPTcpe:2.3:a:greydgl:pentestgpt:*:*:*:*:*:*:*:*Run on your own infrastructure? Check whether these packages are installed with threat-finder — our free open-source scanner.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
This vulnerability in GreyDGL PentestGPT up to version 1.0.0 allows remote attackers to perform injection attacks by manipulating the Traceback argument within the Web-Page Crawling component. The attack requires high complexity and is difficult to exploit. Although the exploit has been publicly disclosed, the vendor has closed the related GitHub issue with a 'not planned' label, indicating no intention to provide a fix.
Potential Impact
Successful exploitation could allow an attacker to inject malicious input remotely via the Traceback argument, potentially impacting the integrity or behavior of the affected component. However, the CVSS score of 2.3 and the low severity rating indicate limited impact and low likelihood of successful exploitation due to high complexity.
Mitigation Recommendations
No official fix or patch is currently available, and the vendor has indicated no plans to address this vulnerability. Users should consider risk acceptance or implement compensating controls if possible. Patch status is not yet confirmed — check the vendor advisory for current remediation guidance.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- VulDB
- Date Reserved
- 2026-08-20T07:03:19.695Z
- Cvss Version
- 4.0
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 6a871151acd9273b49bdeeea
Added to database: 08/20/2026, 14:38:09 UTC
Last enriched: 08/20/2026, 14:53:50 UTC
Last updated: 08/20/2026, 14:53:50 UTC
Views: 4
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