CVE-2026-26365 Overview
CVE-2026-26365 is an HTTP Request Smuggling vulnerability affecting Akamai Ghost on Akamai CDN edge servers. The vulnerability arises from improper handling of custom hop-by-hop HTTP headers, specifically when processing requests containing the header Connection: Transfer-Encoding. This mishandling can result in forwarded requests with invalid message framing, which may cause origin servers to parse request bodies incorrectly—a classic HTTP request smuggling scenario.
Critical Impact
Attackers can exploit this vulnerability to bypass security controls, poison web caches, and potentially access unauthorized data or resources by smuggling malicious requests through Akamai CDN edge servers to origin servers.
Affected Products
- Akamai Ghost on Akamai CDN edge servers before 2026-02-06
Discovery Timeline
- 2026-02-23 - CVE-2026-26365 published to NVD
- 2026-02-23 - Last updated in NVD database
Technical Details for CVE-2026-26365
Vulnerability Analysis
This vulnerability falls under CWE-444 (Inconsistent Interpretation of HTTP Requests), commonly known as HTTP Request Smuggling or HTTP Desync attacks. The root issue occurs when the Akamai Ghost CDN edge server incorrectly processes the Connection header containing Transfer-Encoding as a hop-by-hop header directive.
In compliant HTTP/1.1 implementations, the Connection header can specify other headers that should be treated as hop-by-hop (connection-specific) and removed before forwarding. However, when Transfer-Encoding is listed in the Connection header, Akamai Ghost's processing path creates an inconsistency in how the request is interpreted between the CDN and the origin server.
The consequence is that the edge server may strip or modify the Transfer-Encoding header while forwarding the request, but the request body remains formatted for chunked encoding. This creates a desynchronization where the origin server interprets the message boundaries differently than the CDN expected.
Root Cause
The root cause lies in the improper handling of the Connection header field when it contains Transfer-Encoding as a value. According to HTTP specifications, Transfer-Encoding is a hop-by-hop header by default, but the way Akamai Ghost processes this directive in certain processing paths results in malformed message framing being forwarded to origin servers.
This creates an ambiguous situation where:
- The CDN may interpret the request using chunked transfer encoding
- The origin server receives a request without proper Transfer-Encoding indication
- The message body boundaries become misaligned between frontend and backend
Attack Vector
The attack is network-based and requires no user interaction or special privileges. An attacker sends a specially crafted HTTP request to an Akamai CDN endpoint with the header Connection: Transfer-Encoding. Depending on the Akamai processing path, this triggers the vulnerability.
Once the message framing becomes inconsistent, an attacker can:
- Prepend malicious content to subsequent users' requests
- Bypass frontend security controls implemented at the CDN level
- Poison cached responses affecting multiple users
- Access sensitive endpoints that should be restricted
The attack complexity is high as exploitation depends on specific Akamai processing paths and origin server configurations. However, successful exploitation can affect other users due to the scope-changing nature of request smuggling attacks.
Detection Methods for CVE-2026-26365
Indicators of Compromise
- Unusual HTTP requests containing Connection: Transfer-Encoding header combinations in CDN access logs
- Backend server logs showing requests with mismatched content lengths or unexpected request body parsing
- Evidence of cache poisoning with responses that don't match legitimate request patterns
- Security alert triggers for HTTP desynchronization or smuggling detection rules
Detection Strategies
- Implement HTTP request smuggling detection rules that flag requests with suspicious Connection header values containing Transfer-Encoding
- Monitor for discrepancies between frontend CDN logs and backend origin server logs that indicate message framing inconsistencies
- Deploy web application firewall rules specifically designed to detect HTTP desync attack patterns
- Review CDN access logs for requests with unusual hop-by-hop header configurations
Monitoring Recommendations
- Enable verbose logging on origin servers to capture full request headers and body parsing events
- Configure alerting for anomalous request patterns that match known HTTP smuggling techniques
- Implement correlation between CDN and origin server logs to detect message framing discrepancies
- Monitor cache behavior for unexpected entries that may indicate successful cache poisoning
How to Mitigate CVE-2026-26365
Immediate Actions Required
- Verify that Akamai CDN configurations have been updated with patches released after 2026-02-06
- Review Akamai account settings and ensure automatic security updates are enabled
- Audit origin server configurations to ensure strict HTTP parsing modes are enabled where available
- Implement additional request validation at the origin server level as defense in depth
Patch Information
Akamai has addressed this vulnerability in CDN edge server updates deployed on 2026-02-06. As Akamai Ghost is a managed CDN service, patches are applied by Akamai to their infrastructure. Customers should verify with Akamai support that their CDN configuration is utilizing the patched version. For detailed technical information about this vulnerability and Akamai's remediation, refer to Akamai's security research blog post.
Workarounds
- Configure origin servers to reject requests containing Connection: Transfer-Encoding header combinations
- Implement strict HTTP parsing on origin servers that normalizes or rejects ambiguous requests
- Deploy a web application firewall at the origin level with rules to detect and block HTTP smuggling attempts
- Consider implementing HTTP/2 end-to-end where possible, as it eliminates many HTTP/1.1 smuggling attack vectors
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.


