CVE-2026-15753: Trusting HTTP Permission Methods on the Server Side in zhinianboke xianyu-auto-reply
CVE-2026-15753 is a medium severity vulnerability in the zhinianboke xianyu-auto-reply product. It involves a server-side issue where HTTP permission methods are improperly trusted in the /api/v1/payment/withdraw/review?action=approve endpoint. This flaw can be exploited remotely without user interaction. A patch identified by commit 19fc3282a1bb78a05c34945c088525d20e081cbd is recommended to resolve the issue.
AI Analysis
Technical Summary
This vulnerability in zhinianboke xianyu-auto-reply affects an unspecified functionality of the /api/v1/payment/withdraw/review?action=approve endpoint. The server incorrectly trusts HTTP permission methods, potentially allowing unauthorized actions. The vulnerability is remotely exploitable and has been publicly disclosed. Although a patch commit is referenced, no official vendor advisory or patch release information is provided. The CVSS 4.0 base score is 5.3, indicating medium severity with network attack vector, low attack complexity, no privileges required, and no user interaction needed.
Potential Impact
Successful exploitation could allow an attacker to manipulate server-side permission checks related to payment withdrawal review actions, potentially leading to unauthorized approvals or actions. The exact impact scope is not detailed, but the medium CVSS score suggests limited but meaningful risk.
Mitigation Recommendations
A patch identified by commit 19fc3282a1bb78a05c34945c088525d20e081cbd is recommended to fix this vulnerability. Since no official vendor advisory or patch release details are provided, users should verify and apply this patch or any official fix from the vendor as soon as it becomes available. Patch status is not yet confirmed — check the vendor advisory for current remediation guidance.
CVE-2026-15753: Trusting HTTP Permission Methods on the Server Side in zhinianboke xianyu-auto-reply
Description
CVE-2026-15753 is a medium severity vulnerability in the zhinianboke xianyu-auto-reply product. It involves a server-side issue where HTTP permission methods are improperly trusted in the /api/v1/payment/withdraw/review?action=approve endpoint. This flaw can be exploited remotely without user interaction. A patch identified by commit 19fc3282a1bb78a05c34945c088525d20e081cbd is recommended to resolve the issue.
CVSS v4.0
Score 5.3medium
Affected software
cpe:2.3:a:zhinianboke:xianyu-auto-reply:*:*:*:*:*:*:*:*AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
This vulnerability in zhinianboke xianyu-auto-reply affects an unspecified functionality of the /api/v1/payment/withdraw/review?action=approve endpoint. The server incorrectly trusts HTTP permission methods, potentially allowing unauthorized actions. The vulnerability is remotely exploitable and has been publicly disclosed. Although a patch commit is referenced, no official vendor advisory or patch release information is provided. The CVSS 4.0 base score is 5.3, indicating medium severity with network attack vector, low attack complexity, no privileges required, and no user interaction needed.
Potential Impact
Successful exploitation could allow an attacker to manipulate server-side permission checks related to payment withdrawal review actions, potentially leading to unauthorized approvals or actions. The exact impact scope is not detailed, but the medium CVSS score suggests limited but meaningful risk.
Mitigation Recommendations
A patch identified by commit 19fc3282a1bb78a05c34945c088525d20e081cbd is recommended to fix this vulnerability. Since no official vendor advisory or patch release details are provided, users should verify and apply this patch or any official fix from the vendor as soon as it becomes available. Patch status is not yet confirmed — check the vendor advisory for current remediation guidance.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- VulDB
- Date Reserved
- 2026-07-14T15:51:28.328Z
- Cvss Version
- 4.0
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 6a56bcac68715ace4355d8e7
Added to database: 07/14/2026, 22:48:12 UTC
Last enriched: 07/14/2026, 23:03:31 UTC
Last updated: 07/15/2026, 02:52:14 UTC
Views: 8
Community Reviews
0 reviewsCrowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.
Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.
Actions
Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.
Need more coverage?
Upgrade to Pro Console for AI refresh and higher limits.
For incident response and remediation, OffSeq services can help resolve threats faster.
Latest Threats
Check if your credentials are on the dark web
Instant breach scanning across billions of leaked records. Free tier available.