CVSS Meta Temp Score
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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.
6.2$0-$5k0.00

Summaryinfo

A vulnerability marked as critical has been reported in openvm 1.0.0. Affected is an unknown function. This manipulation causes buffer size. The identification of this vulnerability is CVE-2025-46723. It is possible to initiate the attack remotely. There is no exploit available. It is suggested to upgrade the affected component.

Detailsinfo

A vulnerability was found in openvm 1.0.0. It has been declared as critical. Affected by this vulnerability is an unknown code. The manipulation with an unknown input leads to a buffer size vulnerability. The CWE definition for the vulnerability is CWE-131. The product does not correctly calculate the size to be used when allocating a buffer, which could lead to a buffer overflow. As an impact it is known to affect integrity, and availability. The summary by CVE is:

OpenVM is a performant and modular zkVM framework built for customization and extensibility. In version 1.0.0, OpenVM is vulnerable to overflow through byte decomposition of pc in AUIPC chip. A typo results in the highest limb of pc being range checked to 8-bits instead of 6-bits. This results in the if statement never being triggered because the enumeration gives i=0,1,2, when instead the enumeration should give i=1,2,3, leaving pc_limbs[3] range checked to 8-bits instead of 6-bits. This leads to a vulnerability where the pc_limbs decomposition differs from the true pc, which means a malicious prover can make the destination register take a different value than the AUIPC instruction dictates, by making the decomposition overflow the BabyBear field. This issue has been patched in version 1.1.0.

It is possible to read the advisory at github.com. This vulnerability is known as CVE-2025-46723 since 04/28/2025. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. The technical details are unknown and an exploit is not publicly available.

Upgrading to version 1.1.0 eliminates this vulnerability. The upgrade is hosted for download at github.com. Applying the patch 68da4b50c033da5603517064aa0a08e1bbf70a01 is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Name

Version

License

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CNA CVSS-B Score: 🔍
CNA CVSS-BT Score: 🔍
CNA Vector: 🔍

CVSSv3info

VulDB Meta Base Score: 6.5
VulDB Meta Temp Score: 6.2

VulDB Base Score: 6.5
VulDB Temp Score: 6.2
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: Buffer size
CWE: CWE-131 / CWE-120 / CWE-119
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 Intelligenceinfo

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

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔍

Upgrade: openvm 1.1.0
Patch: 68da4b50c033da5603517064aa0a08e1bbf70a01

Timelineinfo

04/28/2025 🔍
05/03/2025 +5 days 🔍
05/03/2025 +0 days 🔍
05/03/2025 +0 days 🔍

Sourcesinfo

Advisory: GHSA-jf2r-x3j4-23m7
Status: Confirmed

CVE: CVE-2025-46723 (🔍)
GCVE (CVE): GCVE-0-2025-46723
GCVE (VulDB): GCVE-100-307339

Entryinfo

Created: 05/03/2025 08:58
Updated: 05/03/2025 10:11
Changes: 05/03/2025 08:58 (68), 05/03/2025 10:11 (1)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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