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GHSA-6h2x-4gjf-jc5w
No affected components available
Impact
A potential unsafe deserialization issue exists within the autogluon.multimodal module, where YAML files are loaded via yaml.load() instead of yaml.safe_load(). The deserialization of untrusted data may allow an unprivileged third party to cause remote code execution, denial of service, and impact to both confidentiality and integrity.
Impacted versions: >=0.4.0;<0.4.3, >=0.5.0;<0.5.2.
Patches
The patches are included in autogluon.multimodal==0.4.3, autogluon.multimodal==0.5.2 and Deep Learning Containers 0.4.3 and 0.5.2.
Workarounds
Do not load data which originated from an untrusted source, or that could have been tampered with. Only load data you trust.
References
- https://cwe.mitre.org/data/definitions/502.html
- https://www.cvedetails.com/cve/CVE-2017-18342/
Measures severity based on intrinsic characteristics of the vulnerability, independent of environment.
No exploitation activity has been observed at this time. Continue routine monitoring.
Probability that this vulnerability will be exploited in the wild within the next 30 days.
We did not find any exploit available. Neither in GitHub repositories nor in the Exploit-Database.
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