The SentinelOne Annual Threat Report - A Defenders Guide from the FrontlinesThe SentinelOne Annual Threat ReportGet the Report
Experiencing a Breach?Blog
Get StartedContact Us
SentinelOne
  • Platform
    Platform Overview
    • Singularity Platform
      Welcome to Integrated Enterprise Security
    • AI for Security
      Leading the Way in AI-Powered Security Solutions
    • Securing AI
      Accelerate AI Adoption with Secure AI Tools, Apps, and Agents.
    • How It Works
      The Singularity XDR Difference
    • Singularity Marketplace
      One-Click Integrations to Unlock the Power of XDR
    • Pricing & Packaging
      Comparisons and Guidance at a Glance
    Data & AI
    • Purple AI
      Accelerate SecOps with Generative AI
    • Singularity Hyperautomation
      Easily Automate Security Processes
    • AI-SIEM
      The AI SIEM for the Autonomous SOC
    • Data Pipelines
      Security Data Pipeline for AI SIEM and Data Optimization
    • Singularity Data Lake
      AI-Powered, Unified Data Lake
    • Singularity Data Lake for Log Analytics
      Seamlessly Ingest Data from On-Prem, Cloud or Hybrid Environments
    Endpoint Security
    • Singularity Endpoint
      Autonomous Prevention, Detection, and Response
    • Singularity XDR
      Native & Open Protection, Detection, and Response
    • Singularity RemoteOps Forensics
      Orchestrate Forensics at Scale
    • Singularity Threat Intelligence
      Comprehensive Adversary Intelligence
    • Singularity Vulnerability Management
      Application & OS Vulnerability Management
    • Singularity Identity
      Identity Threat Detection and Response
    Cloud Security
    • Singularity Cloud Security
      Block Attacks with an AI-Powered CNAPP
    • Singularity Cloud Native Security
      Secure Cloud and Development Resources
    • Singularity Cloud Workload Security
      Real-Time Cloud Workload Protection Platform
    • Singularity Cloud Data Security
      AI-Powered Threat Detection for Cloud Storage
    • Singularity Cloud Security Posture Management
      Detect and Remediate Cloud Misconfigurations
    Securing AI
    • Prompt Security
      Secure AI Tools Across Your Enterprise
  • Why SentinelOne?
    Why SentinelOne?
    • Why SentinelOne?
      Cybersecurity Built for What’s Next
    • Our Customers
      Trusted by the World’s Leading Enterprises
    • Industry Recognition
      Tested and Proven by the Experts
    • About Us
      The Industry Leader in Autonomous Cybersecurity
    Compare SentinelOne
    • Arctic Wolf
    • Broadcom
    • CrowdStrike
    • Cybereason
    • Microsoft
    • Palo Alto Networks
    • Sophos
    • Splunk
    • Trellix
    • Trend Micro
    • Wiz
    Verticals
    • Energy
    • Federal Government
    • Finance
    • Healthcare
    • Higher Education
    • K-12 Education
    • Manufacturing
    • Retail
    • State and Local Government
  • Services
    Managed Services
    • Managed Services Overview
      Wayfinder Threat Detection & Response
    • Threat Hunting
      World-Class Expertise and Threat Intelligence
    • Managed Detection & Response
      24/7/365 Expert MDR Across Your Entire Environment
    • Incident Readiness & Response
      DFIR, Breach Readiness, & Compromise Assessments
    Support, Deployment, & Health
    • Technical Account Management
      Customer Success with Personalized Service
    • SentinelOne GO
      Guided Onboarding & Deployment Advisory
    • SentinelOne University
      Live and On-Demand Training
    • Services Overview
      Comprehensive Solutions for Seamless Security Operations
    • SentinelOne Community
      Community Login
  • Partners
    Our Network
    • MSSP Partners
      Succeed Faster with SentinelOne
    • Singularity Marketplace
      Extend the Power of S1 Technology
    • Cyber Risk Partners
      Enlist Pro Response and Advisory Teams
    • Technology Alliances
      Integrated, Enterprise-Scale Solutions
    • SentinelOne for AWS
      Hosted in AWS Regions Around the World
    • Channel Partners
      Deliver the Right Solutions, Together
    • SentinelOne for Google Cloud
      Unified, Autonomous Security Giving Defenders the Advantage at Global Scale
    • Partner Locator
      Your Go-to Source for Our Top Partners in Your Region
    Partner Portal→
  • Resources
    Resource Center
    • Case Studies
    • Data Sheets
    • eBooks
    • Reports
    • Videos
    • Webinars
    • Whitepapers
    • Events
    View All Resources→
    Blog
    • Feature Spotlight
    • For CISO/CIO
    • From the Front Lines
    • Identity
    • Cloud
    • macOS
    • SentinelOne Blog
    Blog→
    Tech Resources
    • SentinelLABS
    • Ransomware Anthology
    • Cybersecurity 101
  • About
    About SentinelOne
    • About SentinelOne
      The Industry Leader in Cybersecurity
    • Investor Relations
      Financial Information & Events
    • SentinelLABS
      Threat Research for the Modern Threat Hunter
    • Careers
      The Latest Job Opportunities
    • Press & News
      Company Announcements
    • Cybersecurity Blog
      The Latest Cybersecurity Threats, News, & More
    • FAQ
      Get Answers to Our Most Frequently Asked Questions
    • DataSet
      The Live Data Platform
    • S Foundation
      Securing a Safer Future for All
    • S Ventures
      Investing in the Next Generation of Security, Data and AI
  • Pricing
Get StartedContact Us
CVE Vulnerability Database
Vulnerability Database/CVE-2025-54430

CVE-2025-54430: Dedupe Python Library RCE Vulnerability

CVE-2025-54430 is a remote code execution flaw in dedupe Python library's GitHub workflow that allows attackers to execute untrusted code and exfiltrate tokens. This post covers technical details, impact, and mitigation.

Published: March 24, 2026

CVE-2025-54430 Overview

CVE-2025-54430 is a Command Injection vulnerability affecting the dedupe Python library, which uses machine learning to perform fuzzy matching, deduplication, and entity resolution on structured data. The vulnerability exists in the .github/workflows/benchmark-bot.yml GitHub Actions workflow file, where unsanitized input from pull request comments can trigger execution of untrusted code from attacker-controlled branches.

Critical Impact

Successful exploitation could lead to exfiltration of the GITHUB_TOKEN with write permissions on critical scopes including repository contents, potentially enabling full repository takeover.

Affected Products

  • dedupe Python library (versions prior to commit 3f61e79)
  • GitHub repositories using the vulnerable benchmark-bot.yml workflow
  • Projects forking or using dedupe's CI/CD workflow configuration

Discovery Timeline

  • 2025-07-30 - CVE CVE-2025-54430 published to NVD
  • 2025-07-31 - Last updated in NVD database

Technical Details for CVE-2025-54430

Vulnerability Analysis

This vulnerability stems from insecure handling of GitHub Actions workflow triggers in the dedupe repository. The vulnerable workflow benchmark-bot.yml is configured to respond to issue_comment events containing the @benchmark trigger phrase. When triggered, the workflow performs a checkout operation using the expression ${{ github.event.issue.number }}, which references the pull request branch number associated with the comment.

The fundamental security flaw lies in the workflow's design: it checks out code from a branch that can be controlled by external contributors. An attacker could create a malicious pull request containing arbitrary code, then trigger the benchmark workflow by commenting @benchmark on their own PR. This causes the CI system to execute whatever code exists in the attacker's branch within a privileged context.

The GITHUB_TOKEN available in this workflow context has elevated write permissions across multiple scopes, most critically the contents scope. Extraction of this token would allow an attacker to push code directly to protected branches, modify releases, or otherwise compromise the integrity of the repository.

Root Cause

The root cause is CWE-78 (Improper Neutralization of Special Elements used in an OS Command), specifically manifesting as unsafe interpolation of user-controlled data (github.event.issue.number) in a GitHub Actions checkout operation. The workflow fails to validate that the checked-out code originates from a trusted source before executing it.

Attack Vector

The attack can be executed remotely over the network without any authentication. An attacker can exploit this vulnerability by:

  1. Forking the dedupe repository
  2. Creating a branch containing malicious code designed to exfiltrate the GITHUB_TOKEN (e.g., sending it to an attacker-controlled server)
  3. Opening a pull request from their fork to the upstream dedupe repository
  4. Commenting @benchmark on their own pull request
  5. The workflow triggers, checks out the attacker's malicious branch, and executes the untrusted code with access to the repository's GITHUB_TOKEN

The malicious code could exfiltrate secrets through various channels including HTTP requests to external servers, DNS exfiltration, or encoding data in workflow outputs. Once the GITHUB_TOKEN is obtained, the attacker gains write access to repository contents, enabling potential supply chain attacks.

Detection Methods for CVE-2025-54430

Indicators of Compromise

  • Unexpected comments containing @benchmark on pull requests from external contributors
  • Workflow runs triggered by issue_comment events from unknown or suspicious users
  • Unusual outbound network requests during GitHub Actions workflow execution
  • Unauthorized commits or changes to repository branches, especially protected branches
  • New or modified workflow files in the .github/workflows directory

Detection Strategies

  • Audit GitHub Actions workflow runs for executions triggered by issue_comment events
  • Review repository audit logs for unexpected push events or permission changes
  • Monitor for pull requests from untrusted forks that receive workflow-triggering comments
  • Implement GitHub Advanced Security or third-party tools to scan workflows for unsafe patterns

Monitoring Recommendations

  • Enable GitHub repository audit logging and forward logs to a SIEM for analysis
  • Configure alerts for workflow runs on pull requests from external contributors
  • Monitor for secrets or tokens appearing in workflow logs or external data breach databases
  • Review GitHub Actions usage patterns for anomalies in timing or frequency of benchmark-bot executions

How to Mitigate CVE-2025-54430

Immediate Actions Required

  • Update the dedupe repository to include commit 3f61e79 or later
  • Rotate any GITHUB_TOKEN or secrets that may have been exposed if the vulnerability was exploited
  • Audit recent workflow runs for signs of malicious activity or unauthorized executions
  • Review repository commit history for any unauthorized changes to critical files

Patch Information

The vulnerability is fixed in commit 3f61e79102910bd355e920a2df7e44c14c9cb247. Users should update their dedupe installation or fork to include this commit. The fix addresses the unsafe checkout behavior by ensuring the workflow does not execute code from untrusted pull request branches with elevated permissions.

For more details, see the GitHub Security Advisory GHSA-wrg3-xqw8-m85p and the fix commit.

Workarounds

  • Disable or remove the benchmark-bot.yml workflow until the patch can be applied
  • Restrict workflow permissions using GitHub's permission configuration to reduce GITHUB_TOKEN scope
  • Configure branch protection rules to require reviews for all pull requests before merge
  • Use pull_request_target event with explicit security controls instead of issue_comment triggers on PR branches
bash
# Configuration example: Restrict workflow permissions in repository settings
# In .github/workflows/benchmark-bot.yml, add permissions block:
permissions:
  contents: read
  pull-requests: read
# This limits GITHUB_TOKEN to read-only access, reducing impact if exploited

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

  • Vulnerability Details
  • TypeRCE

  • Vendor/TechDedupe

  • SeverityCRITICAL

  • CVSS Score9.1

  • EPSS Probability0.04%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityNone
  • CWE References
  • CWE-78
  • Technical References
  • GitHub Commit Update

  • GitHub Security Advisory GHSA-wrg3-xqw8-m85p
  • Latest CVEs
  • CVE-2025-9185: Mozilla Firefox RCE Vulnerability

  • CVE-2025-9184: Mozilla Firefox RCE Vulnerability

  • CVE-2025-9180: Mozilla Firefox Auth Bypass Vulnerability

  • CVE-2025-8030: Mozilla Firefox RCE Vulnerability
Default Legacy - Prefooter | Experience the World’s Most Advanced Cybersecurity Platform

Experience the World’s Most Advanced Cybersecurity Platform

See how our intelligent, autonomous cybersecurity platform can protect your organization now and into the future.

Try SentinelOne
  • Get Started
  • Get a Demo
  • Product Tour
  • Why SentinelOne
  • Pricing & Packaging
  • FAQ
  • Contact
  • Contact Us
  • Customer Support
  • SentinelOne Status
  • Language
  • Platform
  • Singularity Platform
  • Singularity Endpoint
  • Singularity Cloud
  • Singularity AI-SIEM
  • Singularity Identity
  • Singularity Marketplace
  • Purple AI
  • Services
  • Wayfinder TDR
  • SentinelOne GO
  • Technical Account Management
  • Support Services
  • Verticals
  • Energy
  • Federal Government
  • Finance
  • Healthcare
  • Higher Education
  • K-12 Education
  • Manufacturing
  • Retail
  • State and Local Government
  • Cybersecurity for SMB
  • Resources
  • Blog
  • Labs
  • Case Studies
  • Videos
  • Product Tours
  • Events
  • Cybersecurity 101
  • eBooks
  • Webinars
  • Whitepapers
  • Press
  • News
  • Ransomware Anthology
  • Company
  • About Us
  • Our Customers
  • Careers
  • Partners
  • Legal & Compliance
  • Security & Compliance
  • Investor Relations
  • S Foundation
  • S Ventures

©2026 SentinelOne, All Rights Reserved.

Privacy Notice Terms of Use

English