CVE Tools

Description

A vulnerability in the data plane IP fragment handler of the Cisco Adaptive Security Appliance (ASA) CX Context-Aware Security module could allow an unauthenticated, remote attacker to cause the CX module to be unable to process further traffic, resulting in a denial of service (DoS) condition. The vulnerability is due to improper handling of IP fragments. An attacker could exploit this vulnerability by sending crafted fragmented IP traffic across the CX module. An exploit could allow the attacker to exhaust free packet buffers in shared memory (SHM), causing the CX module to be unable to process further traffic, resulting in a DoS condition. This vulnerability affects all versions of the ASA CX Context-Aware Security module. Cisco has not released and will not release software updates that address this vulnerability. There are no workarounds that address this vulnerability. Cisco Bug IDs: CSCva62946.

No summary for this CVE yet.

CVSS Vector Breakdown

AV:NAC:LPR:NUI:NS:CC:NI:NA:H
Exploitability
AV:NAttack Vector
Network
AC:LAttack Complexity
Low
PR:NPrivileges Required
None
UI:NUser Interaction
None
Scope
S:CScope
Changed
Impact
C:NConfidentiality
None
I:NIntegrity
None
A:HAvailability
High

Weaknesses

Affected Products

cisco
commercial·USaka cisco systems inc., cisco systems
and 1 more affected products View all →

Exploitability

Official Patch Available

References

Unlock Complete Vulnerability Intelligence

Get the full picture for CVE-2016-9225 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