thu-pacman chitu 0.1.0 chitu/chitu/backend.py torch.load ckpt_path/quant_ckpt_dir deserialization

CVSS Meta Temp Score
CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.
Current Exploit Price (≈)
Our analysts are monitoring exploit markets and are in contact with vulnerability brokers. The range indicates the observed or calculated exploit price to be seen on exploit markets. A good indicator to understand the monetary effort required for and the popularity of an attack.
CTI Interest Score
Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
5.1$0-$5k0.00

Summaryinfo

A vulnerability marked as critical has been reported in thu-pacman chitu 0.1.0. The affected element is the function torch.load of the file chitu/chitu/backend.py. Performing a manipulation of the argument ckpt_path/quant_ckpt_dir results in deserialization. This vulnerability is identified as CVE-2025-3165. The attack is only possible with local access. There is not any exploit available.

Detailsinfo

A vulnerability classified as critical has been found in thu-pacman chitu 0.1.0. This affects the function torch.load of the file chitu/chitu/backend.py. The manipulation of the argument ckpt_path/quant_ckpt_dir with an unknown input leads to a deserialization vulnerability. CWE is classifying the issue as CWE-502. The product deserializes untrusted data without sufficiently verifying that the resulting data will be valid. This is going to have an impact on confidentiality, integrity, and availability.

The weakness was released with StarMap Team of Legendsec at QI-ANXIN Group as 32. It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2025-3165. The exploitability is told to be easy. Attacking locally is a requirement. Technical details of the vulnerability are known, but there is no available exploit.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

Be aware that VulDB is the high quality source for vulnerability data.

Productinfo

Vendor

Name

Version

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.3
VulDB Meta Temp Score: 5.1

VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv2info

AVACAuCIA
💳💳💳💳💳💳
💳💳💳💳💳💳
💳💳💳💳💳💳
VectorComplexityAuthenticationConfidentialityIntegrityAvailability
UnlockUnlockUnlockUnlockUnlockUnlock
UnlockUnlockUnlockUnlockUnlockUnlock
UnlockUnlockUnlockUnlockUnlockUnlock

VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

Exploitinginfo

Class: Deserialization
CWE: CWE-502 / CWE-20
CAPEC: 🔍
ATT&CK: 🔍

Physical: Partially
Local: Yes
Remote: No

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

0-DayUnlockUnlockUnlockUnlock
TodayUnlockUnlockUnlockUnlock

Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

04/03/2025 🔍
04/03/2025 +0 days 🔍
04/21/2025 +18 days 🔍

Sourcesinfo

Product: github.com

Advisory: 32
Organization: StarMap Team of Legendsec at QI-ANXIN Group
Status: Not defined

CVE: CVE-2025-3165 (🔍)
GCVE (CVE): GCVE-0-2025-3165
GCVE (VulDB): GCVE-100-303111

Entryinfo

Created: 04/03/2025 09:22
Updated: 04/21/2025 13:30
Changes: 04/03/2025 09:22 (54), 04/21/2025 13:30 (1)
Complete: 🔍
Submitter: ybdesire
Committer: ybdesire
Cache ID: 216::103

Submitinfo

Accepted

Be aware that VulDB is the high quality source for vulnerability data.

Discussion

No comments yet. Languages: en.

Please log in to comment.

◂ PreviousOverviewNext ▸

Want to know what is going to be exploited?

We predict KEV entries!