CVE-2026-76993
Received Received - Intake

GreyDGL PentestGPT Web-Page Crawling Argument Injection

Publication date: 2026-08-20

Last updated on: 2026-08-20

Assigner: VulDB

Description
A vulnerability was determined in GreyDGL PentestGPT up to 1.0.0. This vulnerability affects unknown code of the component Web-Page Crawling. Executing a manipulation of the argument Traceback can lead to injection. The attack can be executed remotely. A high complexity level is associated with this attack. It is stated that the exploitability is difficult. The exploit has been publicly disclosed and may be utilized. The reported GitHub issue was closed with the label "not planned".

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Meta Information

Published
2026-08-20
Last Modified
2026-08-20
Generated
2026-08-20
AI Q&A
2026-08-20
EPSS Evaluated
N/A
NVD
CVE-2026-76993
EUVD
EUVD-2026-63377

Affected Vendors & Products

Showing 1 associated CPE
Vendor Product Version / Range
greydgl pentestgpt to 1.0.0 (inc)

Helpful Resources

Exploitability

CWE
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KEV
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CWE ID Description
CWE-74 The product constructs all or part of a command, data structure, or record using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify how it is parsed or interpreted when it is sent to a downstream component.
CWE-707 The product does not ensure or incorrectly ensures that structured messages or data are well-formed and that certain security properties are met before being read from an upstream component or sent to a downstream component.

Attack-Flow Graph

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Executive Summary

CVE-2026-76993 is a vulnerability in GreyDGL PentestGPT up to version 1.0.0. It involves a manipulation of the Traceback argument in the Web-Page Crawling component, enabling an injection attack. The exploit requires high complexity and is difficult to execute remotely. The vulnerability was publicly disclosed but the reported GitHub issue was closed without plans for a fix.

Detection Guidance

This vulnerability involves a phishing attack targeting PentestGPT where an attacker injects a fabricated Python traceback error to trick the AI into executing malicious operations. Detection requires monitoring for unusual network traffic, unexpected package installations, or reverse shell connections originating from PentestGPT containers. Check Docker logs for suspicious commands like 'pip install' from untrusted sources or shell executions.

Impact Analysis

This vulnerability allows remote attackers to inject malicious code via a manipulated Traceback argument during web crawling. Successful exploitation could lead to unauthorized code execution, potentially compromising the system running PentestGPT. The attack chain involves tricking the AI into installing a malicious package containing a reverse shell payload.

Compliance Impact

The vulnerability enables remote code execution (RCE) via a phishing attack on AI agents like PentestGPT, potentially allowing unauthorized access to systems handling sensitive data. This could violate GDPR's integrity and confidentiality requirements or HIPAA's safeguards for protected health information if exploited.

Mitigation Strategies

Immediately disable PentestGPT's autonomous mode and switch to interactive mode with strict input validation. Disable VIREO_CMS_SAFE_MODE bypass by ensuring safe mode variables persist across all operations. Block external network access for PentestGPT containers unless explicitly required. Monitor and audit all package installations and shell commands executed by the tool.

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