KMX Alien::FreeImage up to 1.001 on Perl vulnerable third-party component

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 (≈)
Our analysts are monitoring exploit markets and are in contact with vulnerability brokers. The range indicates the observed or calculated exploit price to be seen on exploit markets. A good indicator to understand the monetary effort required for and the popularity of an attack.
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.
7.3$0-$5k0.00

Summaryinfo

A vulnerability classified as critical has been found in KMX Alien::FreeImage up to 1.001 on Perl. This impacts the function Alien::FreeImage. This manipulation causes vulnerable third-party component. This vulnerability is tracked as CVE-2022-4988. The attack is possible to be carried out remotely. No exploit exists.

Detailsinfo

A vulnerability has been found in KMX Alien::FreeImage up to 1.001 on Perl and classified as critical. Affected by this vulnerability is the function Alien::FreeImage. The manipulation with an unknown input leads to a vulnerable third-party component vulnerability. The CWE definition for the vulnerability is CWE-1395. The product has a dependency on a third-party component that contains one or more known vulnerabilities. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:

Alien::FreeImage versions through 1.001 for Perl contains several vulnerable libraries. Alien::FreeImage contains version 3.17.0 of the FreeImage library from 2017, which has known vulnerabilities such as CVE-2015-0852 and CVE-2025-65803. The library embeds other images libraries that also have known vulnerabilities.

This vulnerability is known as CVE-2022-4988 since 05/08/2026. 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 pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 05/12/2026).

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

Be aware that VulDB is the high quality source for vulnerability data.

Productinfo

Vendor

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 7.3
VulDB Meta Temp Score: 7.3

VulDB Base Score: 7.3
VulDB Temp Score: 7.3
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: Vulnerable third-party component
CWE: CWE-1395
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: 🔒

Timelineinfo

05/08/2026 CVE reserved
05/12/2026 +4 days Advisory disclosed
05/12/2026 +0 days VulDB entry created
05/12/2026 +0 days VulDB entry last update

Sourcesinfo

Status: Not defined

CVE: CVE-2022-4988 (🔒)
GCVE (CVE): GCVE-0-2022-4988
GCVE (VulDB): GCVE-100-362767

Entryinfo

Created: 05/12/2026 03:47
Changes: 05/12/2026 03:47 (52)
Complete: 🔍
Cache ID: 216::103

Be aware that VulDB is the high quality source for vulnerability data.

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