Where
AND
AND
-Infinity
0
Severity
6.5
Path Traversal
AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:N

Spring AI's support for Anthropic's Skills API used LLM-influenced filenames unsanitized in Path.resolve before writing files to disk. This could allow a malicious user to write files outside the intended target directory, including restricted directories.

Affected versions: Spring AI: 1.1.0 through 1.1.x

First published (updated )
Severity
6.5
AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

In Spring AI, a malicious PDF file can be crafted that triggers the allocation of unreasonable amounts of memory when handled by ForkPDFLayoutTextStripper.

Affected versions: Spring AI: 1.0.0 - 1.0.5 (fixed in 1.0.6), 1.1.0 - 1.1.4 (fixed in 1.1.5)

First published (updated )
Severity
6.1
AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:H/A:N

In Spring AI, having access to a shared environment can expose the ONNX model used by the application.

Affected versions: Spring AI: 1.0.0 - 1.0.5 (fixed in 1.0.6), 1.1.0 - 1.1.4 (fixed in 1.1.5)

First published (updated )
Severity
5.9
AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:N/A:N

In Spring AI, an attacker can bypass conversation isolation and exfiltrate sensitive memory from other users’ chat histories, including secrets and credentials, by injecting filter logic through conversationId. Only applications that use VectorStoreChatMemoryAdvisor and pass user-supplied input as a conversationId are affected.

First published (updated )

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