CVE-2026-107662
Received Received - Intake

Blind SQL Injection in Revive Adserver

Vulnerability report for CVE-2026-107662, including description, CVSS score, EPSS score, affected products, exploitability, helpful resources, and attack-flow context.

Publication date: 2026-11-11

Last updated on: 2026-11-11

Assigner: HackerOne

Description

Blind SQL injection in Revive Adserver 6.0.8 and earlier allows an authenticated manager restricted to one agency to extract arbitrary database values through the banner-zone.php and campaign-zone.php administration pages. Permission checks and database queries obtain identifiers through inconsistent request-input precedence, allowing an authorized numeric identifier to pass validation while a different, attacker-controlled value reaches an SQL query. Extracted data can include password hashes and active session identifiers. Reusing an unexpired administrator session can grant administrative access, allowing modification of configuration and disruption of ad delivery. The issue is fixed in Revive Adserver 6.0.9 by consistently selecting POST values before GET values in both global input registration and common input helpers, and excluding cookies from these helpers. Both commits e301dbbb7 and 0aa9d0124 are required for the complete correction.

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Meta Information

Published
2026-11-11
Last Modified
2026-11-11
Generated
2026-11-11
EPSS Evaluated
N/A
NVD
EUVD

Affected Vendors & Products

Showing 1 associated CPE
Vendor Product Version / Range
Revive Adserver From 0 (inc) to 6.0.8 (inc)

Helpful Resources

Exploitability

CWE
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KEV
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CWE ID Description
CWE-89 The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Without sufficient removal or quoting of SQL syntax in user-controllable inputs, the generated SQL query can cause those inputs to be interpreted as SQL instead of ordinary user data.

Attack-Flow Graph

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