High Org.springframework.ai CVEs with no public exploit
11 CVEs, 2 protected by Waratek
Overview 11 matches · 2 protected · 0 exploited · 0 CISA KEV · 0 public PoC · 0 EPSS ≥ 0.5
Protected by Waratek
2
18.2%
Rule in development
0
0.0%
Mitigation candidate
0
0.0%
No exploit published
9
81.8%
blocked by ARMR today
2
18.2%
partly blocked
0
0.0%
not blocked
9
81.8%
not established
0
0.0%
unrecorded
0
0.0%
Exploited
0
0.0%
Working exploit published
0
0.0%
Proof of concept only
0
0.0%
Forecast only
0
0.0%
No public exploit
11
100.0%
split by
peak 5 / month
Mar 265
Protected by Waratek1
No exploit published4
High5
blocked by ARMR today1
not blocked4
No public exploit5
Apr 262
Protected by Waratek1
No exploit published1
High2
blocked by ARMR today1
not blocked1
No public exploit2
May 263
No exploit published3
High3
not blocked3
No public exploit3
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-2026-41713 | 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-2026-40978 | 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-2026-22744 | 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-2026-22730 | 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. |