CVE-2026-53661:詳細資料

CVE-2026-53661

0.03%V4
2026-06-11
14h16 +00:00
A05-Security Misconfiguration
2026-10-26
11h10 +00:00
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CVE 描述

Boruta is a standalone authorization server that aims to implement OAuth 2.0 and Openid Connect up to decentralized identity specifications. Prior to version 0.9.1, boruta session cookies and the identity “remember me” cookie were set without the Secure attribute. In deployments where users could reach the same Boruta origin over plaintext HTTP, browsers could send these cookies over an unencrypted connection. An attacker able to observe or intercept that network traffic could recover a valid session or remember-me cookie and reuse it to impersonate the affected user. Affected components include boruta_web, boruta_identity, and boruta_admin. The affected cookies include the shared session cookie, defaulting to _boruta_web_key, and the identity remember-me cookie, defaulting to `_boruta_identity_web_user_remember_me`. The issue is fixed in commit 18691c655164635066aa113003a3cd87f6ed11cd, released as part of version 0.9.1. The patch sets `secure: true` and `same_site: "Lax"` on configured session cookies for boruta_web, boruta_identity, and boruta_admin, and sets `secure: true` on the identity remember-me cookie. Until upgrading to a release containing the fix: terminate or reject plaintext HTTP before requests reach Boruta; enforce HTTPS-only access at the reverse proxy or load balancer; enable HSTS for Boruta domains; if cookie exposure is suspected, rotate SECRET_KEY_BASE and BORUTA_SESSION_COOKIE_SIGNING_SALT, then require users to authenticate again. Upgrade to a version containing commit 18691c655164635066aa113003a3cd87f6ed11cd, or apply the patch manually. After deploying the fix, verify that Boruta session and remember-me cookies include the Secure attribute in browser developer tools or with an HTTP response inspection tool.

CVE 資訊

相關弱點

CWE-ID 弱點名稱 來源
CWE-614 Sensitive Cookie in HTTPS Session Without 'Secure' Attribute
The Secure attribute for sensitive cookies in HTTPS sessions is not set.

EPSS

EPSS 是一種預測漏洞被利用可能性的評分模型。

EPSS 評分

EPSS 模型產生介於 0 到 1(0% 到 100%)之間的概率分數。分數越高,漏洞被利用的概率越大。

EPSS 百分位數

百分位數用於根據 EPSS 分數對 CVE 進行排名。例如,EPSS 評分在第 95 百分位的 CVE 比 95% 的其他 CVE 更有可能被利用。因此,百分位數用於比較某 CVE 的 EPSS 分數與其他 CVE 的相對位置。

參考資料