ghsa-5qpg-rh4j-qp35
Vulnerability from github
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): ```python # Explicit cleanup channel.close()
# Or use context manager with pycares.Channel() as channel: # ... use channel ... # Automatically closed ``` 3. 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": [ { "database_specific": { "last_known_affected_version_range": "\u003c= 4.8.0" }, "package": { "ecosystem": "PyPI", "name": "pycares" }, "ranges": [ { "events": [ { "introduced": "0" }, { "fixed": "4.9.0" } ], "type": "ECOSYSTEM" } ] } ], "aliases": [], "database_specific": { "cwe_ids": [ "CWE-416" ], "github_reviewed": true, "github_reviewed_at": "2025-06-16T16:09:47Z", "nvd_published_at": null, "severity": "MODERATE" }, "details": "## Summary\n\npycares 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.\n\n## Details\n\n### Root Cause\n\nThe vulnerability stems from improper handling of callback references when the Channel object is destroyed:\n\n1. When a DNS query is initiated, pycares stores a callback reference using `ffi.new_handle()`\n2. If the Channel object is garbage collected while queries are pending, the callback references become invalid\n3. When c-ares attempts to invoke the callback, it accesses freed memory, causing a fatal error\n\nThis issue was much more likely to occur when using `event_thread=True` but could happen without it under the right circumstances.\n\n### Technical Details\n\nThe core issue is a race condition between Python\u0027s garbage collector and c-ares\u0027s callback execution:\n\n1. When `__del__` is called from within a c-ares callback context, we cannot immediately call `ares_destroy()` because c-ares is still executing code after the callback returns\n2. c-ares needs to execute cleanup code after our Python callback returns (specifically at lines 1422-1429 in ares_process.c)\n3. If we destroy the channel too quickly, c-ares accesses freed memory\n\n### Impact\n\nApplications 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:\n\n- Channel objects are created per-request\n- Multiple failed DNS queries are processed rapidly\n- The application doesn\u0027t properly manage Channel lifecycle\n\nThe error manifests as:\n```\nFatal Python error: b_from_handle: ffi.from_handle() detected that the address passed points to garbage\n```\n\n## Fix\n\nThe vulnerability has been fixed in pycares 4.9.0 by implementing a safe channel destruction mechanism\n\n## Mitigation\n\n### For Application Developers\n\n1. **Upgrade to pycares \u003e= 4.9.0** - This version includes the fix and requires no code changes\n2. **Best practices** (optional but recommended):\n ```python\n # Explicit cleanup\n channel.close()\n \n # Or use context manager\n with pycares.Channel() as channel:\n # ... use channel ...\n # Automatically closed\n ```\n3. **Avoid creating Channel objects per-request** - Prefer long-lived instances for better performance and safety\n\nThe fix is completely transparent - no API changes or code modifications are required.\n\n## Credit\n\nThis vulnerability was reported by @vEpiphyte through the aio-libs security program.", "id": "GHSA-5qpg-rh4j-qp35", "modified": "2025-06-16T16:09:47Z", "published": "2025-06-16T16:09:47Z", "references": [ { "type": "WEB", "url": "https://github.com/saghul/pycares/security/advisories/GHSA-5qpg-rh4j-qp35" }, { "type": "WEB", "url": "https://github.com/saghul/pycares/commit/ebfd7d71eb8e74bc1057a361ea79a5906db510d4" }, { "type": "PACKAGE", "url": "https://github.com/saghul/pycares" } ], "schema_version": "1.4.0", "severity": [], "summary": "pycares has a Use-After-Free Vulnerability" }
Sightings
Author | Source | Type | Date |
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Nomenclature
- Seen: The vulnerability was mentioned, discussed, or seen somewhere by the user.
- Confirmed: The vulnerability is confirmed from an analyst perspective.
- Exploited: This vulnerability was exploited and seen by the user reporting the sighting.
- Patched: This vulnerability was successfully patched by the user reporting the sighting.
- Not exploited: This vulnerability was not exploited or seen by the user reporting the sighting.
- Not confirmed: The user expresses doubt about the veracity of the vulnerability.
- Not patched: This vulnerability was not successfully patched by the user reporting the sighting.