Belkin N750 1.10.22 HTTP Request proxy.cgi memory corruption

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
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.
8.3$0-$5k0.00

Summaryinfo

A vulnerability identified as critical has been detected in Belkin N750 1.10.22. This issue affects some unknown processing of the file proxy.cgi of the component HTTP Request Handler. This manipulation causes memory corruption. This vulnerability appears as CVE-2018-1145. The attack may be initiated remotely. There is no available exploit. It is advisable to implement restrictive firewalling.

Detailsinfo

A vulnerability has been found in Belkin N750 1.10.22 (Wireless LAN Software) and classified as critical. Affected by this vulnerability is some unknown functionality of the file proxy.cgi of the component HTTP Request Handler. The manipulation with an unknown input leads to a memory corruption vulnerability. The CWE definition for the vulnerability is 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. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:

A remote unauthenticated user can overflow a stack buffer in the Belkin N750 using firmware version 1.10.22 by sending a crafted HTTP request to proxy.cgi.

The bug was discovered 04/16/2018. The weakness was presented 04/19/2018 (Website). It is possible to read the advisory at tenable.com. This vulnerability is known as CVE-2018-1145 since 12/05/2017. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Technical details of the vulnerability are known, but there is no available exploit.

The vulnerability was handled as a non-public zero-day exploit for at least 3 days. During that time the estimated underground price was around $0-$5k.

Proper firewalling of is able to address this issue.

See VDB-116921, VDB-116922 and VDB-116924 for similar entries. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Type

Vendor

Name

Version

License

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 8.5
VulDB Meta Temp Score: 8.4

VulDB Base Score: 7.3
VulDB Temp Score: 7.1
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 9.8
NVD Vector: 🔍

CVSSv2info

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

NVD Base Score: 🔍

Exploitinginfo

Class: Memory corruption
CWE: 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: Firewall
Status: 🔍

0-Day Time: 🔍

Timelineinfo

12/05/2017 🔍
04/16/2018 +132 days 🔍
04/19/2018 +2 days 🔍
04/19/2018 +0 days 🔍
04/21/2018 +2 days 🔍
01/30/2020 +649 days 🔍

Sourcesinfo

Advisory: tenable.com
Status: Not defined

CVE: CVE-2018-1145 (🔍)
GCVE (CVE): GCVE-0-2018-1145
GCVE (VulDB): GCVE-100-116923
See also: 🔍

Entryinfo

Created: 04/21/2018 16:13
Updated: 01/30/2020 11:17
Changes: 04/21/2018 16:13 (60), 01/30/2020 11:17 (1)
Complete: 🔍
Cache ID: 216::103

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

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