GL-iNet MT6000/MT3000/MT2500/AXT1800/AX1800 4.6.2 Upload Interface information disclosure

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 (≈)
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CTI Interest Score
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6.1$0-$5k0.00

Summaryinfo

A vulnerability, which was classified as problematic, has been found in GL-iNet MT6000, MT3000, MT2500, AXT1800 and AX1800 4.6.2. This vulnerability affects unknown code of the component Upload Interface. This manipulation causes information disclosure. The identification of this vulnerability is CVE-2024-45263. There is no exploit available.

Detailsinfo

A vulnerability was found in GL-iNet MT6000, MT3000, MT2500, AXT1800 and AX1800 4.6.2. It has been declared as problematic. Affected by this vulnerability is an unknown functionality of the component Upload Interface. The manipulation with an unknown input leads to a information disclosure vulnerability. The CWE definition for the vulnerability is CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. As an impact it is known to affect confidentiality. The summary by CVE is:

An issue was discovered on certain GL-iNet devices, including MT6000, MT3000, MT2500, AXT1800, and AX1800 4.6.2. The upload interface allows the uploading of arbitrary files to the device. Once the device executes the files, it can lead to information leakage, enabling complete control.

It is possible to read the advisory at github.com. This vulnerability is known as CVE-2024-45263 since 08/25/2024. The exploitation appears to be easy. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1592 according to MITRE ATT&CK.

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

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 6.1
VulDB Meta Temp Score: 6.1

VulDB Base Score: 3.5
VulDB Temp Score: 3.4
VulDB Vector: 🔍
VulDB Reliability: 🔍

CNA Base Score: 8.8
CNA Vector (MITRE): 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

Exploitinginfo

Class: Information disclosure
CWE: CWE-200 / CWE-284 / CWE-266
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

08/25/2024 🔍
10/25/2024 +61 days 🔍
10/25/2024 +0 days 🔍
10/29/2024 +4 days 🔍

Sourcesinfo

Advisory: github.com
Status: Not defined

CVE: CVE-2024-45263 (🔍)
GCVE (CVE): GCVE-0-2024-45263
GCVE (VulDB): GCVE-100-281779

Entryinfo

Created: 10/25/2024 03:50
Updated: 10/29/2024 08:10
Changes: 10/25/2024 03:50 (53), 10/29/2024 08:10 (12)
Complete: 🔍
Cache ID: 216::103

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

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