Overview 3 matches · 0 protected · 0 exploited · 0 CISA KEV · 0 public PoC · 0 EPSS ≥ 0.5
3matches
0protected0.0%
0exploited0.0%
0CISA KEV0.0%
0public PoC0.0%
0EPSS ≥ 0.50.0%
Protected by Waratek
0
0.0%
Rule in development
0
0.0%
Mitigation candidate
0
0.0%
No exploit published
3
100.0%
blocked by ARMR today
0
0.0%
partly blocked
0
0.0%
not blocked
3
100.0%
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
3
100.0%
split by
peak 3 / month
Apr 26
| CVE | Severity | Published▾ | Status | Exploitation | Description |
|---|---|---|---|---|---|
| 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-2026-40966 | 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. |