Org.springframework.ai CVEs
16 CVEs, 3 protected by Waratek
Overview 16 matches · 3 protected · 0 exploited · 0 CISA KEV · 1 public PoC · 0 EPSS ≥ 0.5
Protected by Waratek
3
18.8%
Rule in development
0
0.0%
Mitigation candidate
1
6.2%
No exploit published
12
75.0%
blocked by ARMR today
3
18.8%
partly blocked
0
0.0%
not blocked
13
81.2%
not established
0
0.0%
unrecorded
0
0.0%
Exploited
0
0.0%
Working exploit published
0
0.0%
Proof of concept only
1
6.2%
Forecast only
0
0.0%
No public exploit
15
93.8%
split by
peak 6 / month
Mar 266
Protected by Waratek1
Mitigation candidate1
No exploit published4
Critical1
High5
blocked by ARMR today1
not blocked5
Proof of concept only1
No public exploit5
Apr 265
Protected by Waratek1
No exploit published4
High2
Medium3
blocked by ARMR today1
not blocked4
No public exploit5
May 264
Protected by Waratek1
No exploit published3
High3
Medium1
blocked by ARMR today1
not blocked3
No public exploit4
Jun 261
No exploit published1
High1
not blocked1
No public exploit1
Mar 26Apr 26May 26Jun 26
| CVE | Severity | Published▾ | Status | Exploitation | Description |
|---|---|---|---|---|---|
| CVE-2026-47835 | High | 2026-06-15 | No exploit published | No public exploit | 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). |
| CVE-2026-41863 | Medium | 2026-05-25 | Protected by Waratek | No public exploit | 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 |
| CVE-2026-41713 | High | 2026-05-12 | No exploit published | No public exploit | 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. |
| CVE-2026-41712 | High | 2026-05-12 | No exploit published | No public exploit | Spring AI's chat memory component contained a problematic default that, when not explicitly overridden, could result in unintended data exposure between users. |
| CVE-2026-41705 | High | 2026-05-09 | No exploit published | No public exploit | 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. |
| CVE-2026-40980 | Medium | 2026-04-28 | No exploit published | No public exploit | 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) |
| CVE-2026-40979 | Medium | 2026-04-28 | No exploit published | No public exploit | 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) |
| CVE-2026-40978 | High | 2026-04-28 | Protected by Waratek | No public exploit | 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) |
| CVE-2026-40967 | High | 2026-04-28 | No exploit published | No public exploit | In Spring AI, various FilterExpressionConverter implementations accept a filter expression object and translate them to specific vector store query languages. In several cases, keys and values are not properly escaped, leading to the ability to alter the query. 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) |
| CVE-2026-40966 | Medium | 2026-04-28 | No exploit published | No public exploit | 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. |
| CVE-2026-22744 | High | 2026-03-27 | No exploit published | No public exploit | In RedisFilterExpressionConverter of spring-ai-redis-store, when a user-controlled string is passed as a filter value for a TAG field, stringValue() inserts the value directly into the @field:{VALUE} RediSearch TAG block without escaping characters.This issue affects Spring AI: from 1.0.0 before 1.0.5, from 1.1.0 before 1.1.4. |
| CVE-2026-22743 | High | 2026-03-27 | No exploit published | No public exploit | Spring AI's spring-ai-neo4j-store contains a Cypher injection vulnerability in Neo4jVectorFilterExpressionConverter. When a user-controlled string is passed as a filter expression key in Neo4jVectorFilterExpressionConverter of spring-ai-neo4j-store, doKey() embeds the key into a backtick-delimited Cypher property accessor (node.`metadata.`) after stripping only double quotes, without escaping embedded backticks.This issue affects Spring AI: from 1.0.0 before 1.0.5, from 1.1.0 before 1.1.4. |
| CVE-2026-22742 | High | 2026-03-27 | No exploit published | No public exploit | Spring AI's spring-ai-bedrock-converse contains a Server-Side Request Forgery (SSRF) vulnerability in BedrockProxyChatModel when processing multimodal messages that include user-supplied media URLs. Insufficient validation of those URLs allows an attacker to induce the server to issue HTTP requests to unintended internal or external destinations. This issue affects Spring AI: from 1.0.0 before 1.0.5, from 1.1.0 before 1.1.4. |
| CVE-2026-22738 | Critical | 2026-03-27 | Mitigation candidate | Proof of concept only | In Spring AI, a SpEL injection vulnerability exists in SimpleVectorStore when a user-supplied value is used as a filter expression key. A malicious actor could exploit this to execute arbitrary code. Only applications that use SimpleVectorStore and pass user-supplied input as a filter expression key are affected. This issue affects Spring AI: from 1.0.0 before 1.0.5, from 1.1.0 before 1.1.4. |
| CVE-2026-22730 | High | 2026-03-18 | Protected by Waratek | No public exploit | A critical SQL injection vulnerability in Spring AI's MariaDBFilterExpressionConverter allows attackers to bypass metadata-based access controls and execute arbitrary SQL commands. The vulnerability exists due to missing input sanitization. |
| CVE-2026-22729 | High | 2026-03-18 | No exploit published | No public exploit | A JSONPath injection vulnerability in Spring AI's AbstractFilterExpressionConverter allows authenticated users to bypass metadata-based access controls through crafted filter expressions. User-controlled input passed to FilterExpressionBuilder is concatenated into JSONPath queries without proper escaping, enabling attackers to inject arbitrary JSONPath logic and access unauthorized documents. This vulnerability affects applications using vector stores that extend AbstractFilterExpressionConverter for multi-tenant isolation, role-based access control, or document filtering based on metadata. The vulnerability occurs when user-supplied values in filter expressions are not escaped before being inserted into JSONPath queries. Special characters like ", ||, and && are passed through unescaped, allowing injection of arbitrary JSONPath logic that can alter the intended query semantics. |