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CVE-2026-107232

7.5 HIGHpublic exploit available

Published 2026-10-07 · Updated 2026-10-08

AI risk analysis

Summary
The AsyncHttpClient library incorrectly handles HTTP proxy connections by inferring tunnel existence from the last request method instead of the CONNECT result. This allows attackers to send authentication credentials over plaintext proxy connections even when the proxy rejects the CONNECT request, potentially exposing sensitive credentials.
Exploitability
Exploitation requires a man-in-the-middle position between a client and a proxy server, with the client using AsyncHttpClient library versions prior to 3.0.12 or 2.16.1, making it moderately difficult but possible to achieve.
Blast radius
The impact could be significant across any Java application using AsyncHttpClient with proxy configurations, potentially exposing Basic authentication credentials and enabling NTLM relay attacks.
Detection
No reliable host or network indicator is derivable from the published description.
Prioritized remediation
Upgrade to AsyncHttpClient versions 3.0.12 or 2.16.1 immediately.
proxyauthcredential-exposurejava

Analysis generated locally by garnet-coder (no data left the box). AI-assisted — verify against primary sources before acting.

NVD description

The AsyncHttpClient (AHC) library allows Java applications to easily execute HTTP requests and asynchronously process HTTP responses. Prior to 3.0.12 on 3.x and 2.16.1 on 2.x, the client infers that an HTTP proxy tunnel exists from the last request method rather than the CONNECT result. After a proxy rejects CONNECT, redirect or authentication handlers can write an origin request and its Authorization credentials onto the still-plaintext proxy connection. Basic credentials can be recovered directly, while NTLM responses may be cracked or relayed. This issue is fixed in versions 3.0.12 and 2.16.1.

CVSS vector

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N

Weaknesses

CWE-319, CWE-441, CWE-522

Public exploit & PoC references

All references

Source data: NVD (nvd.nist.gov), public domain. Exploit-DB.ai adds local AI analysis for defensive use only.

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