cgohlke imagecodecs up to 2026.10.10 Lossless JPEG Define Huffman Table Parser decode_jpegsof3 stack-based overflow

Summaryinfo

A vulnerability was found in cgohlke imagecodecs up to 2026.10.10. It has been declared as problematic. Impacted is the function decode_jpegsof3 of the component Lossless JPEG Define Huffman Table Parser. Executing a manipulation can lead to stack-based overflow. This vulnerability is registered as CVE-2026-120252. It is possible to launch the attack remotely. No exploit is available.

Detailsinfo

A vulnerability has been found in cgohlke imagecodecs up to 2026.10.10 and classified as problematic. This vulnerability affects the function decode_jpegsof3 of the component Lossless JPEG Define Huffman Table Parser. The manipulation with an unknown input leads to a stack-based overflow vulnerability. The CWE definition for the vulnerability is CWE-121. A stack-based buffer overflow condition is a condition where the buffer being overwritten is allocated on the stack (i.e., is a local variable or, rarely, a parameter to a function). As an impact it is known to affect availability. CVE summarizes:

imagecodecs 2023.1.23 through 2026.10.10 contains a stack-based buffer overflow vulnerability in the lossless JPEG Define Huffman Table parser in decode_jpegsof3(). Attackers can supply a crafted lossless JPEG whose DHT symbol counts wrap an 8-bit sum, overflowing the 32-entry HufVal and HufSz stack arrays and crashing the calling process.

The advisory is available at github.com. This vulnerability was named CVE-2026-120252 since 10/31/2026. The exploitation appears to be easy. The attack can be initiated remotely. Successful exploitation requires user interaction by the victim. Technical details are known, but there is no available exploit. The structure of the vulnerability defines a possible price range of USD $0-$5k at the moment (estimation calculated on 11/01/2026).

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

If you want to get best quality of vulnerability data, you may have to visit VulDB.

Productinfo

Vendor

• cgohlke

Name

• imagecodecs

Version

• 2026.10.0
• 2026.10.1
• 2026.10.2
• 2026.10.3
• 2026.10.4
• 2026.10.5
• 2026.10.6
• 2026.10.7
• 2026.10.8
• 2026.10.9
• 2026.10.10

Website

• Product: https://github.com/cgohlke/imagecodecs/

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