CVE-2025-32800: conda-build · Reliance on Insufficiently Trustworthy Component
Affects conda-buildSource CVE Database V5
Not known to be exploited · CVSS 7.2 High : upgrade to 25.3.0 soon.
Data as of 25 Oct 2026, 19:02 UTC
- EPSS
- 0.6% chance of exploitation in 30 days – higher than 50% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
- Patch
- Available – fixed in 25.3.0
CVSS:4.0/AV:N/AC:H/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:UExploitation evidence
Disclosed: evidence found.
CVE published 16 Jun 2025
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors
A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 2026-10-25.
What to do
Upgrade conda-build to 25.3.0.
Affected software
| Product | Affected | Fixed in |
|---|---|---|
PyPIconda-buildpkg:pypi/conda-buildOther threats | Affected
| Fixed in
|
Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.
AI-suggested
1. Upgrade conda-build to version 25.3.0 or later immediately to eliminate the vulnerable dependency on 'conda-index'. 2. Until upgrading, avoid using 'pip install' commands that automatically resolve dependencies; instead, use 'pip install --no-deps' when installing conda-build from source to prevent malicious dependency injection. 3. Implement strict dependency verification policies, including locking dependencies to known good versions and using tools that verify package signatures or hashes. 4. Monitor PyPI namespaces relevant to your environment for suspicious or unexpected package registrations, especially those matching internal or expected dependencies. 5. Integrate software supply chain security tools that scan for dependency confusion and namespace hijacking risks in CI/CD pipelines. 6. Educate development and DevOps teams about the risks of installing packages from untrusted sources and the importance of verifying dependencies. 7. Employ runtime monitoring and endpoint detection to identify anomalous behavior indicative of malicious code execution resulting from compromised package installations.
Description
Conda-build contains commands and tools to build conda packages. Prior to version 25.3.0, the pyproject.toml lists conda-index as a Python dependency. This package is not published in PyPI. An attacker could claim this namespace and upload arbitrary (malicious) code to the package, and then exploit pip install commands by injecting the malicious dependency in the solve. This issue has been fixed in version 25.3.0. A workaround involves using --no-deps for pip install-ing the project from the repository.