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RedisChatMemoryRepository.findByMetadata() builds RediSearch tag and text queries from caller-supplied metadata values without applying RediSearchUtil.escape(), unlike get(), clear(), and findByTimeRange() in the same class which do escape their inpu...

ResourceCacheService.getCacheName() builds the on-disk filename by appending the URI fragment verbatim, without stripping path separators or .. sequences, and passes the result to new File(resourceParentFolder, newFileName) before writing the downloa...

A local attacker on a multi-user host can pre-create the deterministic cache path and plant a malicious ONNX model file. Spring AI 2.0.0 Spring AI 1.1.0 - 1.1.8 Spring AI 1.0.0 - 1.0.9

Analyzing a PDF with a deeply nested or cyclic table of contents can cause a StackOverflowError in the ingestion thread. Spring AI 2.0.0 Spring AI 1.1.0 - 1.1.8 Spring AI 1.0.0 - 1.0.9

In Spring AI's tool calling support, the per-request tool list is advertised to the model as a boundary but is not fully enforced when a tool call is dispatched. Under certain conditions, a tool that was not made available to the current request coul...

In Spring AI's Semantic Cache support, the context hash used to isolate cached responses between different system prompts could allow cached responses to be shared across unrelated contexts. Affected versions: Spring AI: 2.0.0

The MCP Streamable HTTP server transport (WebFlux and WebMvc variants) does not place any limit on the number of sessions it retains, and by default does not require clients to be authenticated. As a result, a remote attacker can cause the server to ...

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 direct...

A malicious user could craft input that is stored in conversation memory and later interpreted by the model in an unintended way. Applications using the affected advisor with user-controlled input may be susceptible to manipulation of model behavior ...

Spring AI's chat memory component contained a problematic default that, when not explicitly overridden, could result in unintended data exposure between users.