CVE-2026-22185
OpenLDAP LMDB mdb_load Heap Buffer Underflow in readline()
Description
OpenLDAP Lightning Memory-Mapped Database (LMDB) versions up to and including 0.9.14, prior to commit 8e1fda8, contain a heap buffer underflow in the readline() function of mdb_load. When processing malformed input containing an embedded NUL byte, an unsigned offset calculation can underflow and cause an out-of-bounds read of one byte before the allocated heap buffer. This can cause mdb_load to crash, leading to a limited denial-of-service condition.
No summary for this CVE yet.
CVSS Vector Breakdown
Exploitability
AV:LAccess VectorLocal
AC:LAccess ComplexityLow
Impact
C:NConfidentialityNone
I:NIntegrityNone
A:LAvailabilityL
Weaknesses
Affected Products
OpenLDAP Foundation
oss-projectaka openldap.org, openldap
АО «ИВК»
commercial·RUaka ivk
ООО «Ред Софт»
commercial·RUaka red soft
АО «СберТех»
commercial·RUaka ao sbertech, сбертех
OpenLDAP
oss-projectaka openldap-servers
Exploitability
Official Patch Available
Attack Graph
Products CVE Techniques Tactics
Click technique nodes for MITRE ATT&CK details · drag to pan · Ctrl/⌘ + scroll to zoom, or go fullscreen.
MITRE ATT&CK
2 techniques Collection
Initial Access
References
https://seclists.org/fulldisclosure/2026/Jan/5
seclists.org
https://seclists.org/fulldisclosure/2026/Jan/8
seclists.org
https://www.openldap.org/
openldap.org
and 12 more references View all →
Unlock Complete Vulnerability Intelligence
Get the full picture for CVE-2026-22185 and every CVE in our database. Create a free account — no credit card required.
Create Free AccountPlain-language analysis
Impact assessment and exploitation scenario in plain English
Attack graph visualization
Interactive attack path and kill chain mapping
Exploit details & PoC links
ExploitDB, Metasploit, GitHub PoCs with direct links
Nuclei scanner templates
Ready-to-use vulnerability scanner templates
Full remediation guide
Patch instructions, workarounds, and compliance impact
Interactive AI chat
Ask questions about this vulnerability in natural language
Related vulnerabilities
Semantically similar CVEs and attack patterns
REST API & MCP access
Integrate vulnerability data into your workflows