Amazon DJL 0.13-0.36 Integer Overflow in Tensor Buffer Validation
CVE-2026-85228 Published on September 10, 2026
Integer overflow in tensor buffer validation in Deep Java Library
An integer overflow in the tensor buffer validation component in Amazon Deep Java Library (DJL) from 0.13.0 through 0.36.0 on all platforms might allow a remote unauthenticated actor to obtain information from adjacent process memory or cause a denial of service via a crafted tensor payload.
To remediate this issue, users should upgrade to version 0.37.0 or above.
Vulnerability Analysis
CVE-2026-85228 is exploitable with network access, and does not require authorization privileges or user interaction. This vulnerability is considered to have a low attack complexity. The potential impact of an exploit of this vulnerability is considered to have a high impact on confidentiality, with no impact on integrity, and a high impact on availability.
Weakness Type
Integer Overflow or Wraparound
The software performs a calculation that can produce an integer overflow or wraparound, when the logic assumes that the resulting value will always be larger than the original value. This can introduce other weaknesses when the calculation is used for resource management or execution control. An integer overflow or wraparound occurs when an integer value is incremented to a value that is too large to store in the associated representation. When this occurs, the value may wrap to become a very small or negative number. While this may be intended behavior in circumstances that rely on wrapping, it can have security consequences if the wrap is unexpected. This is especially the case if the integer overflow can be triggered using user-supplied inputs. This becomes security-critical when the result is used to control looping, make a security decision, or determine the offset or size in behaviors such as memory allocation, copying, concatenation, etc.
Products Associated with CVE-2026-85228
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Affected Versions
Amazon Deep Java Library:- Version 0.13.0, <= 0.36.0 is affected.