In Bouncy Castle for Java before 1.85, MLS wire decoder allocates attacker-declared opaque length before bounds check. (CVE-2026-12852)
Bouncy Castle for Java versions before 1.85 contain a vulnerability in the MLS wire decoder where it allocates memory based on an attacker-controlled opaque length before performing bounds checking. This flaw can lead to resource exhaustion or denial of service. No patch information is currently provided.
AI Analysis
Technical Summary
The vulnerability identified as CVE-2026-12852 affects Bouncy Castle for Java versions prior to 1.85. The MLS wire decoder component allocates memory using a length value supplied by an attacker without first verifying that the length is within safe bounds. This can result in excessive memory allocation, potentially causing denial of service conditions. The vulnerability is classified under CWE-789 (Uncontrolled Memory Allocation). There is no explicit patch or remediation information available at this time.
Potential Impact
An attacker can cause the affected software to allocate large amounts of memory by specifying an attacker-controlled length value, potentially leading to denial of service due to resource exhaustion. There is no indication of privilege escalation, code execution, or data disclosure from the provided information.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until a fix is available, users should monitor official Bouncy Castle communications for updates and consider applying any recommended temporary mitigations once disclosed.
In Bouncy Castle for Java before 1.85, MLS wire decoder allocates attacker-declared opaque length before bounds check. (CVE-2026-12852)
Description
Bouncy Castle for Java versions before 1.85 contain a vulnerability in the MLS wire decoder where it allocates memory based on an attacker-controlled opaque length before performing bounds checking. This flaw can lead to resource exhaustion or denial of service. No patch information is currently provided.
CVSS v4.0
Affected software
pkg:maven/org.bouncycastle/bcprov-jdk15onRun on your own infrastructure? Check whether these packages are installed with threat-finder — our free open-source scanner.
Weaknesses
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
The vulnerability identified as CVE-2026-12852 affects Bouncy Castle for Java versions prior to 1.85. The MLS wire decoder component allocates memory using a length value supplied by an attacker without first verifying that the length is within safe bounds. This can result in excessive memory allocation, potentially causing denial of service conditions. The vulnerability is classified under CWE-789 (Uncontrolled Memory Allocation). There is no explicit patch or remediation information available at this time.
Potential Impact
An attacker can cause the affected software to allocate large amounts of memory by specifying an attacker-controlled length value, potentially leading to denial of service due to resource exhaustion. There is no indication of privilege escalation, code execution, or data disclosure from the provided information.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until a fix is available, users should monitor official Bouncy Castle communications for updates and consider applying any recommended temporary mitigations once disclosed.
Technical Details
- Gcve Source
- db.gcve.eu
- Osv Id
- GHSA-p2mp-577q-8vh2
- Osv Schema Version
- 1.4.0
- Aliases
- ["CVE-2026-12852"]
- Ecosystems
- []
- Database Specific Severity
- HIGH
- Cvss Version
- 4.0
Threat ID: 6a71067ebf32cb7a34396cdb
Added to database: 08/03/2026, 21:22:06 UTC
Last enriched: 08/03/2026, 21:40:04 UTC
Last updated: 08/04/2026, 03:17:46 UTC
Views: 3
Community Reviews
0 reviewsCrowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.
Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.
Actions
Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.
Need more coverage?
Upgrade to Pro Console for AI refresh and higher limits.
For incident response and remediation, OffSeq services can help resolve threats faster.
Latest Threats
Check if your credentials are on the dark web
Instant breach scanning across billions of leaked records. Free tier available.