andoma vmir e8117 /src/vmir_wasm_parser.c export_function memory corruption

CVSS Meta Temp Score
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Current Exploit Price (≈)
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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.
5.3$0-$5k0.00

Summaryinfo

A vulnerability has been found in andoma vmir e8117 and classified as critical. The impacted element is the function export_function of the file /src/vmir_wasm_parser.c. Performing a manipulation results in memory corruption. This vulnerability is reported as CVE-2024-35427. No exploit exists.

Detailsinfo

A vulnerability was found in andoma vmir e8117. It has been classified as critical. This affects the function export_function of the file /src/vmir_wasm_parser.c. The manipulation with an unknown input leads to a memory corruption vulnerability. CWE is classifying the issue as CWE-119. The product performs operations on a memory buffer, but it can read from or write to a memory location that is outside of the intended boundary of the buffer. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

vmir e8117 was discovered to contain a segmentation violation via the export_function function at /src/vmir_wasm_parser.c.

It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2024-35427 since 05/17/2024. The exploitability is told to be easy. Technical details of the vulnerability are known, but there is no available exploit. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 06/05/2025).

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

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

Productinfo

Vendor

Name

Version

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.5
VulDB Meta Temp Score: 5.3

VulDB Base Score: 5.5
VulDB Temp Score: 5.3
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: Memory corruption
CWE: CWE-119
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Partially

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: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

05/17/2024 🔍
11/09/2024 +176 days 🔍
11/09/2024 +0 days 🔍
06/05/2025 +208 days 🔍

Sourcesinfo

Product: github.com

Advisory: 20
Status: Not defined

CVE: CVE-2024-35427 (🔍)
GCVE (CVE): GCVE-0-2024-35427
GCVE (VulDB): GCVE-100-283587

Entryinfo

Created: 11/09/2024 01:21
Updated: 06/05/2025 20:29
Changes: 11/09/2024 01:21 (55), 06/05/2025 20:29 (1)
Complete: 🔍
Cache ID: 216::103

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

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