docTR through 1.1.0 Unsafe Deserialization RCE via load_pretrained_params()
Default status is the baseline for the product, each version can override it (e.g. patched versions marked unaffected).
| Vendor | Product | Default status | Versions | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Mindee | docTR | unaffected |
|
No data.
No data.
| Vendor | Product | Versions | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Mindee | Doctr |
|
No CVSS v3.0
No CVSS v2
This CVE is not in the KEV list.
Exploit prediction score: < 1% (0.368% probability within 30 days)
| Type | Values Removed | Values Added |
|---|---|---|
| Metrics |
ssvc
|
| Type | Values Removed | Values Added |
|---|---|---|
| First Time appeared |
Mindee
Mindee doctr |
|
| Vendors & Products |
Mindee
Mindee doctr |
| Type | Values Removed | Values Added |
|---|---|---|
| Description | docTR through 1.1.0 contains an unsafe deserialization vulnerability in load_pretrained_params() that loads checkpoints with torch.load without weights_only=True. Attackers who control a local or URL-supplied checkpoint can embed a malicious pickle payload to execute Python code with the loading process's privileges on torch releases before 2.6. | |
| Title | docTR through 1.1.0 Unsafe Deserialization RCE via load_pretrained_params() | |
| Weaknesses | CWE-502 | |
| References |
|
|
| Metrics |
cvssV3_1
|