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 downloaded bytes there.
Spring AI 2.0.0
Spring AI 1.1.0 - 1.1.8
Spring AI 1.0.9 and earlier
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
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
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 could be invoked, potentially leading to privilege escalation.
Affected versions:
Spring AI: 2.0.0
Spring AI: 1.1.0 through 1.1.8
Spring AI: 1.0.0 through 1.0.9
In Spring AI Vector Stores, special characters could be used to force the execution of arbitrary queries in Elasticsearch, OpenSearch, and GemFire VectorDB. Affected components: spring-ai-elasticsearch-store, spring-ai-opensearch-store, spring-ai-gemfire-store.
Affected versions:
Spring AI 1.0.0 through 1.0.x (fix 1.0.9).
Spring AI 1.1.0 through 1.1.x (fix 1.1.8).
Spring AI's chat memory component contained a problematic default that, when not explicitly overridden, could result in unintended data exposure between users.
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 across conversation turns.
Spring AI's MilvusVectorStore#doDelete(List) implementation is vulnerable to filter-expression injection via unsanitized document IDs.
Spring AI 1.0.x: affected from 1.0.0 through latest 1.0.x; upgrade to 1.0.7 or greater. Spring AI 1.1.x: affected from 1.1.0 through latest 1.1.x; upgrade to 1.1.6 or greater.
SQL injection vulnerability in Spring AI's `CosmosDBVectorStore` allows attackers to execute arbitrary SQL queries via crafted document IDs.
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)
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)