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.
5.9$0-$5k0.00

Summaryinfo

A vulnerability has been found in libXpm and classified as problematic. Affected by this vulnerability is an unknown functionality of the component Comment Parseer. This manipulation causes infinite loop. This vulnerability appears as CVE-2022-46285. The attack may be initiated remotely. There is no available exploit.

Detailsinfo

A vulnerability was found in libXpm (the affected version unknown). It has been declared as problematic. Affected by this vulnerability is an unknown part of the component Comment Parseer. The manipulation with an unknown input leads to a infinite loop vulnerability. The CWE definition for the vulnerability is CWE-835. The product contains an iteration or loop with an exit condition that cannot be reached, i.e., an infinite loop. As an impact it is known to affect availability. The summary by CVE is:

A flaw was found in libXpm. This issue occurs when parsing a file with a comment not closed; the end-of-file condition will not be detected, leading to an infinite loop and resulting in a Denial of Service in the application linked to the library.

The weakness was presented 02/07/2023. It is possible to read the advisory at bugzilla.redhat.com. This vulnerability is known as CVE-2022-46285 since 01/09/2023. It demands that the victim is doing some kind of user interaction. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1499 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

Name

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.9
VulDB Meta Temp Score: 5.9

VulDB Base Score: 4.3
VulDB Temp Score: 4.3
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 7.5
NVD Vector: 🔍

CVSSv2info

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

Exploitinginfo

Class: Infinite loop
CWE: CWE-835 / CWE-404
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: no mitigation known
Status: 🔍

0-Day Time: 🔍

Patch: gitlab.freedesktop.org

Timelineinfo

01/09/2023 🔍
02/07/2023 +29 days 🔍
02/07/2023 +0 days 🔍
03/06/2023 +27 days 🔍

Sourcesinfo

Advisory: bugzilla.redhat.com
Status: Not defined

CVE: CVE-2022-46285 (🔍)
GCVE (CVE): GCVE-0-2022-46285
GCVE (VulDB): GCVE-100-220363

Entryinfo

Created: 02/07/2023 20:55
Updated: 03/06/2023 10:25
Changes: 02/07/2023 20:55 (36), 03/06/2023 10:19 (1), 03/06/2023 10:25 (11)
Complete: 🔍
Cache ID: 216::103

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

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