CVE-2026-55832
Tract is a tiny, no-nonsense, self-contained TensorFlow and ONNX inference toolkit. Prior to 0.21.17, 0.22.3, and 0.23.2, the tract-onnx cra…
Tract is a tiny, no-nonsense, self-contained TensorFlow and ONNX inference toolkit. Prior to 0.21.17, 0.22.3, and 0.23.2, the tract-onnx crate passes the attacker-controlled external_data location from an ONNX model through onnx/src/tensor.rs get_external_resources and joins the value to the model directory without rejecting absolute paths or parent directory components. Loading an untrusted model through model_for_path can therefore make onnx/src/data_resolver.rs MmapDataResolver open an arbitrary local file and place the file contents into model tensors or inference output. Attacker-controlled offset and length fields can also select an out-of-range mapping slice and cause a denial of service, but the flaw does not write files or execute code. This issue is fixed in versions 0.21.17, 0.22.3, and 0.23.2.
Why it matters
- ▸ Requires local access, limiting mass exploitation
- ▸ Low attack complexity — no special conditions needed to exploit
- ▸ No authentication required
- ▸ Requires the victim to take an action (e.g. open a file or link)
Apply the vendor patch as soon as it's available or already released. User-awareness training reduces risk here, since exploitation depends on tricking a user into acting.
This analysis is generated from structured CVSS vector data, CISA KEV cross-referencing, and vendor/product category rules — not a manual expert review. Treat it as a starting point, not a substitute for your own assessment.
CVSS Vector Breakdown
EU Vulnerability Database (ENISA)
EUVD is ENISA's EU vulnerability database, still in beta. EPSS is a probabilistic exploitation-likelihood score, not a certainty.
Stay Updated
New CVEs and vulnerability advisories are added continuously as they're disclosed. Subscribe via RSS to get every update the moment it's published — no email or account required.
Subscribe via RSS