CVE Tools
Sign in

CVE-2026-18024

PostgreSQL ascii() function reads past end of buffer

Published: Aug 13, 2026Updated: Aug 29, 2026 Sources: CVE List NVDCWE-126
4.3MEDIUM
NVD MITRE
EPSS Score
0.2%
Top 90.7%
CISA KEV
Not in KEV
Exploits
No Known Exploits
Remediation
Patch Available
Self-Check
OpenVAS

Description

Buffer over-read in PostgreSQL ascii() SQL function allows a user to disclose up to 3 bytes after the end of a specific allocation, via a crafted text value. This is the same class of defect that CVE-2026-2006 fixed, though this instance has less impact. Versions before PostgreSQL 18.6, 17.11, 16.15, 15.19, and 14.24 are affected.

No summary for this CVE yet.

CVSS Vector Breakdown

AV:NAC:LPR:LUI:NS:UC:LI:NA:N
Exploitability
AV:NAttack Vector
Network
AC:LAttack Complexity
Low
PR:LPrivileges Required
Low
UI:NUser Interaction
None
Scope
S:UScope
Unchanged
Impact
C:LConfidentiality
Low
I:NIntegrity
None
A:NAvailability
None
Open in CVSS calculator →

Weaknesses

CWE-126

Affected Products

postgresql
oss-project·USaka postgres
postgresqlOn-premDatabase
Databases / relational
and 1 more affected products View all →

Exploitability

Official Patch Available
Is your org exposed to CVE-2026-18024?We can run the check for you — a free external exposure review, no install. Check my exposure

References

https://www.postgresql.org/support/security/CVE-2026-18024/
postgresql.org

Unlock Complete Vulnerability Intelligence

Get the full picture for CVE-2026-18024 and every CVE in our database. Create a free account — no credit card required.

Create Free Account
Plain-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