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CVE-2023-52356: Heap-based Buffer Overflow

0
High
VulnerabilityCVE-2023-52356cvecve-2023-52356
Published: Thu Jan 25 2024 (01/25/2024, 20:03:40 UTC)
Source: CVE Database V5

Description

A segment fault (SEGV) flaw was found in libtiff that could be triggered by passing a crafted tiff file to the TIFFReadRGBATileExt() API. This flaw allows a remote attacker to cause a heap-buffer overflow, leading to a denial of service.

AI-Powered Analysis

AILast updated: 12/10/2025, 20:12:46 UTC

Technical Analysis

CVE-2023-52356 is a heap-based buffer overflow vulnerability identified in the libtiff library, specifically within the TIFFReadRGBATileExt() API function. This flaw arises when the function processes a crafted TIFF file that manipulates internal buffer handling, leading to a segmentation fault (SEGV) due to heap corruption. The vulnerability can be exploited remotely by an attacker who supplies a malicious TIFF image to an application or service that uses libtiff for image decoding, without requiring any authentication or user interaction. The exploitation results in a denial of service (DoS) condition by crashing the affected process, potentially disrupting services that rely on libtiff for image processing. The vulnerability affects all versions of libtiff prior to the release of a patch, although no specific version numbers are provided in the data. The CVSS v3.1 base score of 7.5 indicates a high severity, with attack vector network (AV:N), low attack complexity (AC:L), no privileges required (PR:N), and no user interaction (UI:N). The impact is limited to availability (A:H), with no direct impact on confidentiality or integrity. No known exploits have been reported in the wild as of the publication date, but the vulnerability's characteristics make it a candidate for future exploitation, especially in environments processing untrusted TIFF files. The vulnerability was reserved and published in January 2024, with Red Hat as the assigner, indicating that Linux distributions and open-source projects may be among the first to address it.

Potential Impact

For European organizations, the primary impact of CVE-2023-52356 is the potential for denial of service attacks against systems that utilize libtiff for TIFF image processing. This includes document management systems, digital archives, media processing pipelines, and any software handling TIFF images, which are common in government, healthcare, publishing, and multimedia sectors. Disruption of these services could lead to operational downtime, affecting business continuity and service availability. Although the vulnerability does not compromise data confidentiality or integrity, the loss of availability can have cascading effects, such as delayed workflows, inability to access critical documents, or interruption of automated image processing tasks. Organizations relying on open-source software stacks or embedded systems using libtiff are particularly vulnerable. The lack of required authentication or user interaction means that attackers can exploit this remotely and silently by sending malicious TIFF files, increasing the risk of automated or large-scale attacks. Given the high CVSS score and ease of exploitation, European entities should consider this a significant threat to service reliability.

Mitigation Recommendations

To mitigate CVE-2023-52356, European organizations should immediately identify all systems and applications that use libtiff for TIFF image processing. Applying official patches or updates from libtiff maintainers or Linux distributions as soon as they become available is critical. In the absence of patches, organizations should implement input validation and filtering to block or quarantine untrusted TIFF files, especially from external or public sources. Employing sandboxing or containerization for applications that process TIFF images can limit the impact of potential crashes. Network-level protections such as intrusion detection systems (IDS) and file scanning can help detect and block malicious TIFF files. Additionally, monitoring application logs for crashes related to TIFF processing can provide early warning signs of exploitation attempts. Organizations should also review and update incident response plans to include scenarios involving denial of service caused by malformed image files. Finally, raising awareness among developers and system administrators about this vulnerability will help ensure timely remediation and reduce exposure.

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Technical Details

Data Version
5.2
Assigner Short Name
redhat
Date Reserved
2024-01-24T14:08:49.010Z
Cvss Version
3.1
State
PUBLISHED

Threat ID: 69092147fe7723195e054043

Added to database: 11/3/2025, 9:40:23 PM

Last enriched: 12/10/2025, 8:12:46 PM

Last updated: 12/14/2025, 9:10:26 PM

Views: 19

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