FastStone Image Viewer PSD File Parser out-of-bounds write

CVSS Meta Temp Score
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CTI Interest Score
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7.2$0-$5k0.00

Summaryinfo

A vulnerability classified as critical has been found in FastStone Image Viewer. This vulnerability affects unknown code of the component PSD File Parser. This manipulation causes out-of-bounds write. This vulnerability is tracked as CVE-2024-9112. The attack is possible to be carried out remotely. No exploit exists.

Detailsinfo

A vulnerability has been found in FastStone Image Viewer (version now known) and classified as critical. Affected by this vulnerability is some unknown processing of the component PSD File Parser. The manipulation with an unknown input leads to a out-of-bounds write vulnerability. The CWE definition for the vulnerability is CWE-787. The product writes data past the end, or before the beginning, of the intended buffer. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:

FastStone Image Viewer PSD File Parsing Out-Of-Bounds Write Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of FastStone Image Viewer. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the parsing of PSD files. The issue results from the lack of proper validation of user-supplied data, which can result in a write past the end of an allocated object. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-25102.

It is possible to read the advisory at zerodayinitiative.com. This vulnerability is known as CVE-2024-9112 since 09/23/2024. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. 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 pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 12/19/2024).

The vulnerability scanner Nessus provides a plugin with the ID 208256 (FastStone Image Viewer <= 7.8 Multiple Vulnerabilities), which helps to determine the existence of the flaw in a target environment.

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

The vulnerability is also documented in the vulnerability database at Tenable (208256). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Vendor

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License

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 7.3
VulDB Meta Temp Score: 7.2

VulDB Base Score: 6.3
VulDB Temp Score: 6.1
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 7.8
NVD Vector: 🔍

CNA Base Score: 7.8
CNA Vector: 🔍

CVSSv2info

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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

Exploitinginfo

Class: Out-of-bounds write
CWE: CWE-787 / CWE-119
CAPEC: 🔍
ATT&CK: 🔍

Physical: Partially
Local: Yes
Remote: Yes

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Nessus ID: 208256
Nessus Name: FastStone Image Viewer <= 7.8 Multiple Vulnerabilities

Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

09/23/2024 🔍
09/24/2024 +1 days 🔍
09/24/2024 +0 days 🔍
03/09/2025 +166 days 🔍

Sourcesinfo

Advisory: ZDI-24-1273
Status: Not defined

CVE: CVE-2024-9112 (🔍)
GCVE (CVE): GCVE-0-2024-9112
GCVE (VulDB): GCVE-100-278347

Entryinfo

Created: 09/24/2024 08:17
Updated: 03/09/2025 15:50
Changes: 09/24/2024 08:17 (51), 10/08/2024 16:31 (2), 12/19/2024 19:44 (22), 03/09/2025 15:50 (3)
Complete: 🔍
Cache ID: 216::103

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

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