pycares has a Use-After-Free VulnerabilityGHSA-5qpg-rh4j-qp35
Fix: saghul/pycares@ebfd7d7GHSA-5qpg-rh4j-qp35 is a Use After Free vulnerability in pycares. A fix is available for pycares — see the affected versions and patch details below.
Exploitation Status
No confirmed exploitation observed yet
- CISA’s own triage has not observed active exploitation or public proof-of-concept code for this CVE as of its last assessment.
Exploitation and automatability from CISA’s SSVC triage for GHSA-5qpg-rh4j-qp35.
EPSS Exploitation Probability
Probability of exploitation in the next 30 days, from FIRST.org EPSS.
Real-World Exposure
pycaresReal-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.
Description
Summary
pycares is vulnerable to a use-after-free condition that occurs when a Channel object is garbage collected while DNS queries are still pending. This results in a fatal Python error and interpreter crash.
Details
Root Cause
The vulnerability stems from improper handling of callback references when the Channel object is destroyed:
- When a DNS query is initiated, pycares stores a callback reference using
ffi.new_handle() - If the Channel object is garbage collected while queries are pending, the callback references become invalid
- When c-ares attempts to invoke the callback, it accesses freed memory, causing a fatal error
This issue was much more likely to occur when using event_thread=True but could happen without it under the right circumstances.
Technical Details
The core issue is a race condition between Python's garbage collector and c-ares's callback execution:
- When
__del__is called from within a c-ares callback context, we cannot immediately callares_destroy()because c-ares is still executing code after the callback returns - c-ares needs to execute cleanup code after our Python callback returns (specifically at lines 1422-1429 in ares_process.c)
- If we destroy the channel too quickly, c-ares accesses freed memory
Impact
Applications using pycares can be crashed remotely by triggering DNS queries that result in Channel objects being garbage collected before query completion. This is particularly problematic in scenarios where:
- Channel objects are created per-request
- Multiple failed DNS queries are processed rapidly
- The application doesn't properly manage Channel lifecycle
The error manifests as:
Fatal Python error: b_from_handle: ffi.from_handle() detected that the address passed points to garbage
Fix
The vulnerability has been fixed in pycares 4.9.0 by implementing a safe channel destruction mechanism
Mitigation
For Application Developers
- Upgrade to pycares >= 4.9.0 - This version includes the fix and requires no code changes
- Best practices (optional but recommended):
# Explicit cleanup channel.close() # Or use context manager with pycares.Channel() as channel: # ... use channel ... # Automatically closed - Avoid creating Channel objects per-request - Prefer long-lived instances for better performance and safety
The fix is completely transparent - no API changes or code modifications are required.
Credit
This vulnerability was reported by @vEpiphyte through the aio-libs security program.
Affected Packages
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| 🐍PyPI | pycares | all versions | 4.9.0pip install --upgrade 'pycares==4.9.0' |
Detection & mitigation playbook
Open-source dependencyDetect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for pycares, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.
Fix
Update pycares to 4.9.0 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-5qpg-rh4j-qp35 is resolved across your whole dependency graph.
Workarounds
Constrain what reaches the vulnerable code: limit the size and shape of untrusted input, isolate the affected component in a sandboxed or least-privileged process, and enable the platform's memory-safety mitigations (ASLR, stack protector, hardened allocator) so an out-of-bounds access is more likely to fail closed than to be exploitable.
Fixing This On Your OS
If you run this on a Linux distribution, patch through your package manager against the distro's own security advisory below — it tracks the exact backported fix for your release, which can ship on a different timeline (and sometimes a different severity) than the upstream project.
To mitigate this flaw avoid creating Channel objects per-request.Source: Red Hat security advisory for GHSA-5qpg-rh4j-qp35 (CC BY 4.0)
Frequently Asked Questions
Is GHSA-5qpg-rh4j-qp35 in your dependencies?
Find it across PyPI, including transitive dependencies.