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Overview 4 matches · 0 protected · 0 exploited · 0 CISA KEV · 0 public PoC · 0 EPSS ≥ 0.5
4matches 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 4 100.0%
Critical 0 0.0% High 0 0.0% Medium 4 100.0% Low 0 0.0% None 0 0.0% Unknown 0 0.0%
blocked by ARMR today 0 0.0% partly blocked 0 0.0% not blocked 4 100.0% 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 4 100.0%
split by peak 2 / year
201820192020202120222023202420252026
4 matches Sign in to download these CVEs as CSV or JSON, or to follow them in a feed.
CVE Severity Published▾ Status Exploitation Description
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-2020-2258 Medium 2020-09-16 No exploit published No public exploit Jenkins Health Advisor by CloudBees Plugin 3.2.0 and earlier does not correctly perform a permission check in an HTTP endpoint, allowing attackers with Overall/Read permission to view that HTTP endpoint.
CVE-2020-2094 Medium 2020-01-15 No exploit published No public exploit A missing permission check in Jenkins Health Advisor by CloudBees Plugin 3.0 and earlier allows attackers with Overall/Read permission to send a fixed email to an attacker-specific recipient.
CVE-2018-1288 Medium 2018-07-26 No exploit published No public exploit In Apache Kafka 0.9.0.0 to 0.9.0.1, 0.10.0.0 to 0.10.2.1, 0.11.0.0 to 0.11.0.2, and 1.0.0, authenticated Kafka users may perform action reserved for the Broker via a manually created fetch request interfering with data replication, resulting in data loss.