CVE-2025-69226
AIOHTTP allows for a brute-force leak of internal static filepath components
5.3CVSSMEDIUM
Description
AIOHTTP is an asynchronous HTTP client/server framework for asyncio and Python. Versions 3.13.2 and below enable an attacker to ascertain the existence of absolute path components through the path normalization logic for static files meant to prevent path traversal. If an application uses web.static() (not recommended for production deployments), it may be possible for an attacker to ascertain the existence of path components. This issue is fixed in version 3.13.3.
CVSS Vector Breakdown
Exploitability
AV:NAttack VectorNetwork
AC:LAttack ComplexityLow
PR:NPrivileges RequiredNone
UI:NUser InteractionNone
Scope
S:UScopeUnchanged
Impact
C:LConfidentialityLow
I:NIntegrityNone
A:NAvailabilityNone
Weaknesses
Affected Products
and 10 more affected products View all →
Attack Graph
Products CVE Techniques Tactics
Click technique nodes to view MITRE ATT&CK details. Scroll to zoom, drag to pan.
Exploitability
Official Patch Available
MITRE ATT&CK
2 techniques Collection
Discovery
References
https://github.com/aio-libs/aiohttp
github.com
https://github.com/aio-libs/aiohttp/security/advisories/GHSA-54jq-c3m8-4m76
github.com
https://github.com/aio-libs/aiohttp/commit/f2a86fd5ac0383000d1715afddfa704413f0711e
github.com
and 8 more references View all →
Timeline
Published
Jan 5, 2026
Last Updated
Jan 14, 2026
Unlock Complete Vulnerability Intelligence
Get the full picture for CVE-2025-69226 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