CVE-2025-32784 (GCVE-0-2025-32784)
Vulnerability from cvelistv5 – Published: 2025-04-15 21:56 – Updated: 2025-04-17 14:25
VLAI
EPSS
VEX
Title
conda-forge-webservices has an Unauthorized Artifact Modification Race Condition
Summary
conda-forge-webservices is the web app deployed to run conda-forge admin commands and linting. In versions prior to 2025.4.10, a race condition vulnerability has been identified in the conda-forge-webservices component used within the shared build infrastructure. This vulnerability, categorized as a Time-of-Check to Time-of-Use (TOCTOU) issue, can be exploited to introduce unauthorized modifications to build artifacts stored in the cf-staging Anaconda channel. Exploitation may result in the unauthorized publication of malicious artifacts to the production conda-forge channel. The core vulnerability results from the absence of atomicity between the hash validation and the artifact copy operation. This gap allows an attacker, with access to the cf-staging token, to overwrite the validated artifact with a malicious version immediately after hash verification, but before the copy action is executed. As the cf-staging channel permits artifact overwrites, such an operation can be carried out using the anaconda upload --force command. This vulnerability is fixed in 2025.4.10.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-04-17 14:24 UTC
CWE
- CWE-367 - Time-of-check Time-of-use (TOCTOU) Race Condition
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/conda-forge/conda-forge-webser… | x_refsource_CONFIRM |
| https://github.com/conda-forge/conda-forge-webser… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| conda-forge | conda-forge-webservices |
Affected:
< 2025.4.10
|
guessed |
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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