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CVE Vulnerability Database
Vulnerability Database/CVE-2025-27510

CVE-2025-27510: conda-forge-metadata RCE Vulnerability

CVE-2025-27510 is a remote code execution vulnerability in conda-forge-metadata caused by an unregistered dependency that could enable malicious takeover. This article covers technical details, impact, and mitigation.

Published: April 1, 2026

CVE-2025-27510 Overview

CVE-2025-27510 is a critical Remote Code Execution vulnerability affecting conda-forge-metadata, a library that provides programmatic access to conda-forge's metadata. The vulnerability stems from a dependency confusion issue where an optional dependency named conda-oci-mirror was neither present on the PyPI repository nor registered by any entity. This creates an opportunity for threat actors to register a malicious package under that name, potentially leading to remote code execution when users install the optional dependency.

Critical Impact

If the unregistered conda-oci-mirror dependency is claimed by a threat actor, any installation of conda-forge-metadata with optional dependencies could result in automatic execution of malicious code on the target system.

Affected Products

  • conda-forge-metadata (versions referencing the unregistered conda-oci-mirror optional dependency)

Discovery Timeline

  • 2025-03-04 - CVE-2025-27510 published to NVD
  • 2025-03-05 - Last updated in NVD database

Technical Details for CVE-2025-27510

Vulnerability Analysis

This vulnerability is classified under CWE-829 (Inclusion of Functionality from Untrusted Control Sphere). The conda-forge-metadata project defined an optional dependency called conda-oci-mirror in its pyproject.toml configuration file. However, this package name was never registered on PyPI, creating a namespace vulnerability.

The dependency confusion attack vector allows an adversary to register the unclaimed package name on PyPI with malicious code. When users subsequently install conda-forge-metadata with optional dependencies (using commands like pip install conda-forge-metadata[oci]), the malicious package would be fetched and installed from PyPI, executing arbitrary code during the installation process.

This type of vulnerability is particularly dangerous in software supply chains because it requires no interaction with the legitimate project maintainers and can affect any downstream user who installs the optional dependency.

Root Cause

The root cause is the declaration of an optional dependency (conda-oci-mirror) in the project's pyproject.toml file without ensuring the package name was registered and controlled by the project maintainers. This oversight left the namespace vulnerable to takeover by malicious actors.

The specific configuration can be found in the pyproject.toml file where the optional dependency is referenced.

Attack Vector

The attack operates over the network without requiring authentication or user interaction. An attacker would:

  1. Register the conda-oci-mirror package name on PyPI with malicious code
  2. Wait for users to install conda-forge-metadata with optional dependencies
  3. The malicious package would be automatically downloaded and installed
  4. Code execution occurs during the package installation process, typically in setup.py or through entry points

Since package installation often runs with elevated privileges, this could result in complete system compromise. The vulnerability requires no prior access or special conditions—any user installing the optional dependency would be affected.

Detection Methods for CVE-2025-27510

Indicators of Compromise

  • Unexpected installation of packages named conda-oci-mirror from PyPI
  • Network connections to PyPI for downloading conda-oci-mirror during conda-forge-metadata installation
  • Unusual processes spawned during Python package installation
  • New entries in pip/conda installation logs referencing conda-oci-mirror

Detection Strategies

  • Monitor package installation logs for references to conda-oci-mirror
  • Implement software composition analysis (SCA) tools to track installed dependencies
  • Use package pinning and hash verification in requirements files
  • Audit all optional dependencies before installation in CI/CD pipelines

Monitoring Recommendations

  • Review existing installations of conda-forge-metadata for the presence of conda-oci-mirror
  • Enable verbose logging during package installations to capture dependency resolution details
  • Implement alerting for unexpected package installations in production environments
  • Regularly audit project dependencies against known vulnerability databases

How to Mitigate CVE-2025-27510

Immediate Actions Required

  • Do not install conda-forge-metadata with optional dependencies until a patched version is available
  • Audit existing systems for any installations of conda-oci-mirror
  • Remove any instances of conda-oci-mirror if found installed
  • Use explicit dependency lists rather than relying on optional extras

Patch Information

Users should consult the GitHub Security Advisory for official patch information and updates from the conda-forge-metadata maintainers. The fix likely involves either removing the optional dependency reference, registering the package name properly, or updating to use an existing registered package.

Workarounds

  • Avoid installing optional dependencies from conda-forge-metadata until the issue is resolved
  • Use virtual environments with strict dependency isolation for Python projects
  • Implement pip's --require-hashes flag to ensure only verified packages are installed
  • Consider using private PyPI mirrors with curated package lists in enterprise environments
bash
# Configuration example - Install without optional dependencies
pip install conda-forge-metadata

# Verify no suspicious packages are installed
pip list | grep -i conda-oci

# Use hash verification for stricter installation
pip install --require-hashes -r requirements.txt

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

  • Vulnerability Details
  • TypeRCE

  • Vendor/TechConda

  • SeverityCRITICAL

  • CVSS Score9.3

  • EPSS Probability0.89%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityHigh
  • CWE References
  • CWE-829
  • Technical References
  • GitHub Metadata File

  • GitHub Security Advisory
  • Related CVEs
  • CVE-2025-31484: conda-forge Auth Bypass Vulnerability
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