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CVE-2025-9165: Memory Leak in LibTIFF

Medium
VulnerabilityCVE-2025-9165cvecve-2025-9165
Published: Tue Aug 19 2025 (08/19/2025, 20:02:13 UTC)
Source: CVE Database V5
Product: LibTIFF

Description

A flaw has been found in LibTIFF 4.7.0. This affects the function _TIFFmallocExt/_TIFFCheckRealloc/TIFFHashSetNew/InitCCITTFax3 of the file tools/tiffcmp.c of the component tiffcmp. Executing manipulation can lead to memory leak. The attack is restricted to local execution. The exploit has been published and may be used. This patch is called ed141286a37f6e5ddafb5069347ff5d587e7a4e0. It is best practice to apply a patch to resolve this issue.

AI-Powered Analysis

AILast updated: 08/19/2025, 20:32:53 UTC

Technical Analysis

CVE-2025-9165 is a medium-severity vulnerability identified in LibTIFF version 4.7.0, specifically within the tiffcmp component's tools/tiffcmp.c source file. The flaw arises from improper memory management in functions such as _TIFFmallocExt, _TIFFCheckRealloc, TIFFHashSetNew, and InitCCITTFax3. These functions are responsible for memory allocation and handling during TIFF image comparison operations. The vulnerability manifests as a memory leak, where allocated memory is not properly released after use, leading to gradual consumption of system memory resources. The attack vector requires local execution with low privileges (PR:L), meaning an attacker must have some level of access to the host system to exploit the flaw. No user interaction or elevated privileges are necessary, and the exploit does not affect confidentiality, integrity, or availability directly but can degrade system performance over time due to resource exhaustion. The vulnerability has a CVSS 4.0 base score of 4.8, reflecting its medium severity. Although an exploit has been published, there are no known widespread exploits in the wild at this time. A patch identified by commit ed141286a37f6e5ddafb5069347ff5d587e7a4e0 has been released to address the issue, and applying this patch is recommended to prevent potential exploitation. The flaw is limited to local attack scenarios and does not involve network-based exploitation or remote code execution. This vulnerability primarily affects systems and applications that utilize LibTIFF 4.7.0, especially those employing the tiffcmp tool for TIFF image comparison or processing.

Potential Impact

For European organizations, the impact of CVE-2025-9165 is generally limited but still noteworthy. Organizations that rely on LibTIFF 4.7.0, particularly in environments where TIFF image processing or comparison is automated or frequent, may experience degraded system performance due to memory leaks if the vulnerability is exploited. This could lead to increased resource consumption, potential system slowdowns, or crashes in worst-case scenarios, affecting availability of services that depend on these operations. Since the attack requires local access, the threat is primarily from insider threats or attackers who have already compromised a system with limited privileges. The vulnerability does not directly compromise data confidentiality or integrity but can be leveraged as part of a broader attack chain to destabilize systems or create denial-of-service conditions. European sectors such as media, publishing, healthcare, and government agencies that process large volumes of TIFF images could be more affected if they use vulnerable versions of LibTIFF. However, the absence of remote exploitation and the medium severity score reduce the urgency compared to more critical vulnerabilities.

Mitigation Recommendations

To mitigate CVE-2025-9165, European organizations should take the following specific actions: 1) Identify all systems and applications using LibTIFF version 4.7.0, especially those employing the tiffcmp utility or related TIFF processing tools. 2) Apply the official patch (commit ed141286a37f6e5ddafb5069347ff5d587e7a4e0) promptly to all affected systems to eliminate the memory leak. 3) If patching is temporarily not possible, implement strict access controls to limit local user access to systems running vulnerable LibTIFF versions, minimizing the risk of local exploitation. 4) Monitor system memory usage on critical hosts that process TIFF images to detect abnormal memory consumption patterns indicative of exploitation attempts. 5) Incorporate LibTIFF version checks into software supply chain audits and vulnerability management programs to ensure no outdated versions remain in production. 6) Educate system administrators and security teams about the local nature of the threat to focus on insider threat detection and endpoint security controls. 7) Consider sandboxing or isolating TIFF processing tasks to limit the impact of potential memory leaks on critical systems.

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Technical Details

Data Version
5.1
Assigner Short Name
VulDB
Date Reserved
2025-08-19T13:24:01.463Z
Cvss Version
4.0
State
PUBLISHED

Threat ID: 68a4dbedad5a09ad00fac866

Added to database: 8/19/2025, 8:17:49 PM

Last enriched: 8/19/2025, 8:32:53 PM

Last updated: 8/20/2025, 12:35:26 AM

Views: 2

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