GHSA-8jr5-v98p-w75m: vLLM: image EXIF Rotation & PNG tRNS Transparency Not Normalized, Causing Mismatch Between Model Input and Expectations
(updated )
Issue 1: EXIF orientation not normalized → The image orientation processed by the model differs from how humans view it, introducing interpretation bias.
Issue 2: PNG tRNS not explicitly flattened before converting to RGB → After conversion, transparent/semi-transparent pixels are rendered unexpectedly, making otherwise subtle overlay elements visible and distorting the input content. (This attack is similar to AlphaDog: RGBA handling is already correct in vLLM, but since tRNS permits RGB images, the correct processing path isn’t taken.)
Issue 3 : Pillow only loads the first frame when loading APNG or GIF files.
References
- access.redhat.com/security/cve/CVE-2026-12491
- bugzilla.redhat.com/show_bug.cgi?id=2489786
- github.com/advisories/GHSA-8jr5-v98p-w75m
- github.com/pypa/advisory-database/tree/main/vulns/vllm/PYSEC-2026-3406.yaml
- github.com/vllm-project/vllm
- github.com/vllm-project/vllm/commit/cf1c90672404548aa3bc51f92c4745576a65ee26
- github.com/vllm-project/vllm/pull/44974
- github.com/vllm-project/vllm/security/advisories/GHSA-8jr5-v98p-w75m
- nvd.nist.gov/vuln/detail/CVE-2026-12491
- pypi.org/project/vllm
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