optimate up to 2024-07-21 Pickle neural_magic_training.py _load_model deserialization
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.4 | $0-$5k | 0.00 |
Summary
A vulnerability classified as critical has been found in optimate up to 2024-07-21. The affected element is the function _load_model of the file neural_magic_training.py of the component Pickle Module. This manipulation causes deserialization.
This vulnerability is handled as CVE-2026-31219. The attack can be initiated remotely. There is not any exploit available.
Details
A vulnerability classified as critical was found in optimate up to 2024-07-21. Affected by this vulnerability is the function _load_model of the file neural_magic_training.py of the component Pickle Module. The manipulation with an unknown input leads to a deserialization vulnerability. The CWE definition for the vulnerability is CWE-502. The product deserializes untrusted data without sufficiently verifying that the resulting data will be valid. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:
The _load_model() function in the neural_magic_training.py script of the optimate project in commit a6d302f912b481c94370811af6b11402f51d377f (2024-07-21) is vulnerable to insecure deserialization (CWE-502). When a user provides a single model file path (e.g., .pt or .pth) via the --model command-line argument, the function loads the file using torch.load() without enabling the weights_only=True security parameter. This allows the deserialization of arbitrary Python objects through the Pickle module. A remote attacker can exploit this by providing a maliciously crafted model file, leading to arbitrary code execution during deserialization on the victim's system.
This vulnerability is known as CVE-2026-31219 since 03/09/2026. The exploitation appears to be easy. The attack can be launched remotely. Technical details are known, but no exploit is available. The price for an exploit might be around USD $0-$5k at the moment (estimation calculated on 05/19/2026).
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
Product
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.6VulDB Meta Temp Score: 7.4
VulDB Base Score: 6.3
VulDB Temp Score: 6.1
VulDB Vector: 🔒
VulDB Reliability: 🔍
ADP CISA Base Score: 8.8
ADP CISA Vector: 🔒
CVSSv2
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: DeserializationCWE: CWE-502 / CWE-20
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
03/09/2026 CVE reserved05/12/2026 Advisory disclosed
05/12/2026 VulDB entry created
05/19/2026 VulDB entry last update
Sources
Status: Not definedCVE: CVE-2026-31219 (🔒)
GCVE (CVE): GCVE-0-2026-31219
GCVE (VulDB): GCVE-100-363061
Entry
Created: 05/12/2026 18:43Updated: 05/19/2026 03:17
Changes: 05/12/2026 18:43 (52), 05/19/2026 03:17 (11)
Complete: 🔍
Cache ID: 216::103
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
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