File Browser’s insecure JWT handling can lead to session replay attacks after logout

説明

Summary

File Browser’s authentication system issues long-lived JWT tokens that remain valid even after the user logs out. Please refer to the CWE's listed in this report for further reference and system standards. In summary, the main issue is:

  • Tokens remain valid after logout (session replay attacks)

In this report, I used docker as the documentation instruct:

docker run \
    -v filebrowser_data:/srv \
    -v filebrowser_database:/database \
    -v filebrowser_config:/config \
    -p 8080:80 \
    filebrowser/filebrowser

Details

Issue: Tokens remain valid after logout (session replay attacks)

After logging in and receiving a JWT token, the user can explicitly "log out." However, this action does not invalidate the issued JWT. Any captured token can be replayed post-logout until it expires naturally. The backend does not track active sessions or invalidate existing tokens on logout. Login request:

POST /api/login HTTP/1.1
Host: machine.local:8090
Content-Length: 69

{"username":"admin","password":"password-here","recaptcha":""}

The check found in the code https://github.com/filebrowser/filebrowser/blob/master/http/auth.go is not enough. There is no server-side blacklist or token invalidation on logout. Token renewal and validity only depends on expiry and user store timestamps:

expired := !tk.VerifyExpiresAt(time.Now().Add(time.Hour), true)
updated := tk.IssuedAt != nil && tk.IssuedAt.Unix() < d.store.Users.LastUpdate(tk.User.ID)

PoC

Issue: Tokens remain valid after logout (session replay attacks)

  • Login and capture the generate JWT. Eg. the http request:
POST /api/login HTTP/1.1
Host: machine.local:8090
Content-Length: 69

{"username":"admin","password":"password-here","recaptcha":""}
  • Logout in the dashboard. And then try to use the old generated JWT to access any authenticated endpoint eg:
GET /api/resources HTTP/1.1
Host: machine.local:8090
User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/138.0.0.0 Safari/537.36
X-Auth: Old-JWT-token-here
Content-Length: 173
Accept: */*
Referer: http://machine.local:8090/files/
Accept-Encoding: gzip, deflate, br
Accept-Language: en-US,en;q=0.9
Content-Length: 26

Connection: keep-alive

Impact

  • A valid JWT remains active after user logout.
  • If stolen, tokens persist access indefinitely until expiry.
  • Violates OWASP Top 10 A2:2021 - Broken Authentication.

Recommendations

  • Read all CWE's attached in this report
  • Invalidate JWTs on logout via session store / token blacklist.
  • Reduce JWT ExpiresAt where possible or use short-lived + refresh tokens.

基本情報

タイプ
reviewed
深刻度
high
GitHub 上のアドバイザリ
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公開(アドバイザリ)
2025-07-16 14:09:28 UTC
更新
2025-07-29 23:17:57 UTC
GitHub レビュー済み
2025-07-16 14:09:28 UTC
NVD で公開
2025-07-15

EPSS Score

Score Percentile
0.31% 53.91%

CVSS Scores

Base score Version Severity Vector
7.7 4.0
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:H/VA:N/SC:N/SI:N/SA:N/E:P クリックして展開
攻撃ベクター (AV:N)
インターネットや社内 WAN など、ルーティングされたネットワーク越しに遠隔から踏み台にしうる。
攻撃の複雑さ (AC:L)
手順が短く、再現性が高い。
攻撃要件 (AT:N)
到達性以外に、追加のインフラ条件やデータ前提は要らない。
必要な権限 (PR:N)
昇格やログインなしで踏み台にしうる。
ユーザーの関与 (UI:N)
被害者の操作なしでも攻撃が完結しうる。
脆弱システムの機密性への影響 (VC:N)
脆弱な対象から機微情報が読まれうる余地はほとんどない。
脆弱システムの完全性への影響 (VI:H)
監査ログの改竄や広範なデータ偽装など、信頼根拠を崩す水準。
脆弱システムの可用性への影響 (VA:N)
業務を止めるほどの停止や劣化は想定しにくい。
後続システムの機密性への影響 (SC:N)
脆弱点を経由して下流の機微情報が読まれうる余地はほとんどない。
後続システムの完全性への影響 (SI:N)
下流の記録や設定が歪められる局面はほとんど想定されない。
後続システムの可用性への影響 (SA:N)
下流サービスが止まるほどの影響は想定しにくい。
悪用の成熟度(Threat) (E:P)
再現手順や PoC は公開されているが、実害報告や自動化キットはない。

Identifiers

CWEs

CWE id Name
CWE-305 Authentication Bypass by Primary Weakness
CWE-384 Session Fixation
CWE-613 Insufficient Session Expiration

Credits

  • maen08 (reporter)
  • hacdias (analyst)

Affected packages (2)

Vulnerable version ranges and first patched releases as published by GitHub.

Ecosystem Package Vulnerable range First patched Vulnerable functions
go github.com/filebrowser/filebrowser <= 2.39.0
go github.com/filebrowser/filebrowser/v2 <= 2.39.0

References

cvelogic Threat Intelligence