CVE-2026-40652 in Compressonator SDK
Summary
by MITRE • 11/03/2026
An out-of-bounds read condition in the AMD Compressonator SDK could allow an attacker with local access to supply a specially crafted Truevision Advanced Raster Graphics Adapter (TGA) file to a user or an automated pipeline, potentially resulting in disclosure of sensitive heap memory contents or denial of service.
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Analysis
by VulDB Data Team • 11/03/2026
The vulnerability identified within the AMD Compressonator SDK represents a critical security flaw rooted in improper input validation during the processing of image files. Specifically, this issue manifests as an out-of-bounds read condition when handling Truevision Advanced Raster Graphics Adapter (TGA) formatted images. The AMD Compressonator is widely utilized by developers and automated pipelines for texture compression and optimization tasks within game development and graphics rendering workflows. Because these tools often process untrusted or semi-trusted assets provided by external contributors, the ability to craft a malicious TGA file that triggers this flaw poses a significant risk to systems relying on this SDK for image processing operations.
From a technical perspective, the core of the vulnerability lies in how the library parses header information and pixel data within the TGA format specification. When a specially crafted TGA file is supplied, it likely contains malformed or excessively large dimension values, color depth indicators, or offset pointers that cause the parser to calculate memory access locations incorrectly. Instead of validating these parameters against the actual allocated buffer size before reading, the software proceeds to read from heap memory addresses beyond the intended boundaries. This behavior violates fundamental principles of safe memory management and input sanitization, allowing data outside the designated object's scope to be accessed by the application process.
The operational impact of this vulnerability is twofold, involving both confidentiality and availability concerns. The primary risk is the disclosure of sensitive heap memory contents. An attacker who can induce a user or an automated service to open such a malicious file may extract arbitrary data from the process's memory space. This could include cryptographic keys, authentication tokens, private user information, or other proprietary assets held in adjacent memory regions. In environments where multiple processes share resources or where sensitive data is processed sequentially, this leakage can be particularly devastating. Additionally, if the out-of-bounds read leads to subsequent logic errors or triggers a crash handler that exposes stack traces, it further aids an attacker in mapping the application's internal state and potentially chaining with other vulnerabilities for remote code execution.
Furthermore, the vulnerability contributes to denial of service conditions. Depending on how the operating system handles memory access violations resulting from such reads, the process may terminate abruptly or enter a corrupted state that prevents further operation. In automated pipelines where image processing is performed in bulk without manual intervention, a single malicious file can halt production workflows, causing significant downtime and operational disruption for organizations dependent on continuous texture compression services.
This flaw aligns with Common Weakness Enumeration (CWE) category CWE-125, which describes Out-of-bounds Read vulnerabilities involving reading beyond the end of a buffer or array. It also relates to CWE-20, Improper Input Validation, as the root cause is the failure to adequately verify that input data conforms to expected structural constraints before processing. In terms of the MITRE ATT&CK framework, this vulnerability facilitates initial access and credential harvesting techniques if exploited in conjunction with social engineering or automated pipeline infiltration, specifically mapping to tactics involving Collection and Exfiltration over Application Layer Protocols if the leaked memory is transmitted externally.
Mitigation strategies must focus on both immediate remediation and long-term defensive coding practices. The primary solution involves updating the AMD Compressonator SDK to a patched version that implements rigorous bounds checking for all TGA parsing operations. Developers should ensure that every read operation verifies that the target address lies within the allocated buffer limits before execution. For organizations unable to update immediately, input validation at the ingestion point of their pipelines is critical. This includes sanitizing incoming image files, limiting file sizes and dimensions to reasonable thresholds, and employing sandboxing techniques to isolate the processing environment from sensitive system resources. Additionally, enabling memory protection features such as Address Space Layout Randomization (ASLR) and Data Execution Prevention (DEP) can mitigate the exploitability of this vulnerability by making it harder for attackers to predict memory layouts or execute injected code based on leaked information.