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CVE-2026-27168: CWE-122: Heap-based Buffer Overflow in HappySeaFox sail

0
High
VulnerabilityCVE-2026-27168cvecve-2026-27168cwe-122
Published: Fri Feb 20 2026 (02/20/2026, 23:34:54 UTC)
Source: CVE Database V5
Vendor/Project: HappySeaFox
Product: sail

Description

SAIL is a cross-platform library for loading and saving images with support for animation, metadata, and ICC profiles. All versions are vulnerable to Heap-based Buffer Overflow through the XWD parser's use of the bytes_per_line value. The value os read directly from the file as the read size in io->strict_read(), and is never compared to the actual size of the destination buffer. An attacker can provide an XWD file with an arbitrarily large bytes_per_line, causing a massive write operation beyond the buffer heap allocated for the image pixels. The issue did not have a fix at the time of publication.

AI-Powered Analysis

Machine-generated threat intelligence

AILast updated: 02/28/2026, 00:40:08 UTC

Technical Analysis

The vulnerability identified as CVE-2026-27168 affects the HappySeaFox sail library, a cross-platform image loading and saving library supporting animations, metadata, and ICC profiles. The flaw is a heap-based buffer overflow (CWE-122) in the XWD image parser component. Specifically, the parser reads the bytes_per_line value directly from the input XWD file and uses it as the read size in the io->strict_read() function without verifying that this value fits within the allocated buffer for image pixels. Consequently, an attacker can craft a malicious XWD file with an arbitrarily large bytes_per_line value, causing the library to perform a massive write operation beyond the allocated heap buffer. This unchecked write can corrupt heap memory, leading to potential arbitrary code execution, application crashes, or denial of service. The vulnerability affects all sail versions up to and including 0.9.10. The CVSS v3.1 base score is 8.8, reflecting high severity with attack vector being adjacent network, low attack complexity, no privileges required, no user interaction, and full impact on confidentiality, integrity, and availability. At the time of disclosure, no patch or fix is available, and no exploits have been reported in the wild. This vulnerability is critical for any application or system that uses sail to process untrusted XWD image files, especially in environments where image files are received from external or untrusted sources.

Potential Impact

The impact of CVE-2026-27168 is significant for organizations worldwide that utilize the HappySeaFox sail library for image processing, particularly those handling XWD image files. Successful exploitation can lead to arbitrary code execution, allowing attackers to take control of affected systems, steal sensitive data, or disrupt services. The heap overflow can also cause application crashes, leading to denial of service conditions. Since the vulnerability requires no authentication or user interaction, attackers can exploit it remotely by delivering a malicious XWD file to the target system. This poses a risk to web services, image processing pipelines, and any software components that automatically parse or render XWD images. The lack of an available patch increases the window of exposure, making timely mitigation critical. Organizations in sectors such as software development, digital media, cloud services, and any industry relying on image processing libraries are particularly vulnerable. Additionally, the potential for code execution elevates the threat to critical infrastructure and high-value targets that may use this library in their technology stacks.

Mitigation Recommendations

Given the absence of an official patch, organizations should implement several practical mitigations: 1) Immediately audit and inventory all systems and applications using the HappySeaFox sail library, focusing on versions up to 0.9.10. 2) Avoid processing or accepting XWD image files from untrusted or unauthenticated sources. 3) Implement network-level controls to block or monitor traffic containing XWD files, especially in environments where image uploads are allowed. 4) Employ application-layer input validation to check the bytes_per_line value before processing, if possible, by modifying the source code or applying temporary patches to enforce size checks against buffer allocations. 5) Use sandboxing or containerization to isolate applications that process images, limiting the impact of potential exploitation. 6) Monitor logs and system behavior for signs of heap corruption or crashes related to image processing. 7) Stay alert for vendor updates or community patches and plan for rapid deployment once a fix becomes available. 8) Consider alternative image processing libraries that do not exhibit this vulnerability if immediate patching is not feasible.

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Technical Details

Data Version
5.2
Assigner Short Name
GitHub_M
Date Reserved
2026-02-18T00:18:53.963Z
Cvss Version
3.1
State
PUBLISHED

Threat ID: 6998f281be58cf853bdfabe1

Added to database: 2/20/2026, 11:47:13 PM

Last enriched: 2/28/2026, 12:40:08 AM

Last updated: 4/6/2026, 10:42:09 AM

Views: 128

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