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GHSA-c3wx-c55w-pxjq

HighCVSS 7.8 / 10
Published Oct 7, 2026·Last modified Oct 7, 2026
Affected Components(7)
PyPI logohydra-core
1.4.0.dev8
PyPI logohydra-core
1.4.0.dev1
PyPI logohydra-core
1.4.0.dev3
1 / 3
Description

Summary

Hydra passed its Python logging configuration to logging.config.dictConfig(). Python's logging configurator can resolve and invoke importable classes and factories named by configuration, including handler class values and formatter, filter, handler, queue, and listener () factories.

This logging path was not mediated by Hydra's target policy. In versions that already protected instantiate(), logging resolution bypassed those controls because it did not use instantiate().

An attacker who can control a Hydra logging configuration can use a custom class or factory to execute code with the application's privileges when Hydra configures logging.

Fix

Hydra now applies its target policy to callable resolution and invocation in Hydra-configured Python logging. It authorizes custom factories, handlers, formatters, filters, queues, listeners, aliases, discovery results, and callable results before they can be used.

Hydra 1.3.6 uses the hardened blacklist. The Hydra 1.3 blacklist is a best-effort, defense-in-depth measure. It is not a complete security boundary and does not make untrusted logging configuration safe.

Hydra 1.4.0.dev9 introduces the execution whitelist as the recommended primary boundary, with the blacklist retained as a deprecated compatibility fallback. When an execution whitelist is supplied, Hydra automatically permits targets used by its built-in logging configurations, while custom logging integrations must be explicitly authorized by trusted Python code. If no whitelist is supplied, Hydra warns and preserves legacy fallback behavior.

Remediation

Upgrade to Hydra 1.3.6, or to Hydra 1.4.0.dev9 or later when testing the 1.4 prerelease line.

On Hydra 1.3, do not compose logging configuration from untrusted sources. On Hydra 1.4 and later, constrain custom logging targets with a narrow execution whitelist supplied by trusted Python code. The execution whitelist controls callable selection; it is not general validation of all logging settings.

For Hydra 1.4 execution-whitelist configuration, see:

https://hydra.cc/docs/advanced/execution_whitelist/

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Risk Scores
Base Score
7.8

The vulnerability requires local access to the device to be exploited. It is easy for an attacker to exploit this vulnerability. An attacker does not need any special privileges or access rights. The attacker needs the user to perform some action, like clicking a link. The impact is confined to the system where the vulnerability exists. There is a high impact on the confidentiality of the information. There is a high impact on the integrity of the data. There is a high impact on the availability of the system.

Threat Intelligence
7.1

Exploitation activity has been observed. Apply available patches or mitigations urgently.

EPSS
0.17%

The exploit probability is very low. The vulnerability is unlikely to be exploited in the next 30 days.

Exploit
Not available

We did not find any exploit available. Neither in GitHub repositories nor in the Exploit-Database.

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