yashbhalgat HashNeRF-pytorch up to 82885e698295982504eb6a26d060a6b2473e3706 Checkpoint File run_nerf.py torch.load ckpt_path deserialization

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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4.8$0-$5k1.53

Summaryinfo

A vulnerability classified as problematic was found in yashbhalgat HashNeRF-pytorch up to 82885e698295982504eb6a26d060a6b2473e3706. This affects the function torch.load of the file run_nerf.py of the component Checkpoint File Handler. The manipulation of the argument ckpt_path results in deserialization. This vulnerability is cataloged as CVE-2026-15531. The attack must be initiated from a local position. Furthermore, there is an exploit available. This product operates on a rolling release basis, ensuring continuous delivery. Consequently, there are no version details for either affected or updated releases. The pull request to fix this issue awaits acceptance.

Detailsinfo

A vulnerability classified as problematic has been found in yashbhalgat HashNeRF-pytorch up to 82885e698295982504eb6a26d060a6b2473e3706. Affected is the function torch.load of the file run_nerf.py of the component Checkpoint File Handler. The manipulation of the argument ckpt_path 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 advisory is available at github.com. This vulnerability is traded as CVE-2026-15531. The exploitability is told to be easy. Local access is required to approach this attack. Technical details and a public exploit are known.

The exploit is shared for download at github.com. It is declared as proof-of-concept. The pull request to fix this issue awaits acceptance.

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 best quality of vulnerability data, you may have to visit VulDB.

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: 4.8

VulDB Base Score: 5.3
VulDB Temp Score: 4.8
VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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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: 🔒
Access: Public
Status: Proof-of-Concept
Download: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔒

Timelineinfo

07/12/2026 Advisory disclosed
07/12/2026 +0 days VulDB entry created
07/12/2026 +0 days VulDB entry last update

Sourcesinfo

Product: github.com

Advisory: 49
Status: Not defined
Confirmation: 🔒

CVE: CVE-2026-15531 (🔒)
GCVE (CVE): GCVE-0-2026-15531
GCVE (VulDB): GCVE-100-377874
scip Labs: https://www.scip.ch/en/?labs.20161013

Entryinfo

Created: 07/12/2026 18:01
Changes: 07/12/2026 18:01 (61)
Complete: 🔍
Submitter: Dem0000000
Cache ID: 216::103

Submitinfo

Accepted

  • Submit #854906: Yash Bhalgat HashNeRF-pytorch Affected: repository version up to commit c49502ff492abca6243505961f1aa312 CWE-502 Deserialization of Untrusted Data (by Dem0000000)

If you want to get best quality of vulnerability data, you may have to visit VulDB.

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