
Cloud Vulnerability DB
A community-led vulnerabilities database
CVE-2026-33767 is a SQL injection vulnerability in WWBN AVideo's video liking functionality, classified as High severity. The flaw exists in objects/like.php where the getLike() method uses a partial prepared statement — parameterizing users_id but directly concatenating $this->videos_id into the SQL query string without sanitization. All versions of AVideo prior to 26.0 are affected. The vulnerability was published on March 24, 2026, and received a CVSS v3.1 base score of 8.8 (High) and a CVSS v4.0 base score of 7.1 (High) (GitHub Advisory).
The root cause is CWE-89 (Improper Neutralization of Special Elements used in an SQL Command), specifically a partial prepared statement anti-pattern in objects/like.php. The vulnerable code constructs the query as: $sql = "SELECT * FROM likes WHERE users_id = ? AND videos_id = ".$this->videos_id." LIMIT 1;" — where users_id is bound via a placeholder but videos_id is concatenated directly from user-supplied POST/GET input without integer casting or validation. An authenticated attacker can exploit this via a crafted POST request to /objects/likeAjax.json.php, injecting a UNION-based SQL payload through the videos_id parameter. The fix, applied in commit 0215d3c, replaces the concatenation with a second ? placeholder and casts videos_id to an integer via intval() in both the constructor and the videosHashToID() function (GitHub Advisory, Patch Commit).
Successful exploitation allows any authenticated registered user to perform a full database read via UNION-based SQL injection, exposing user credentials (usernames and hashed passwords), email addresses, private content, and any other data accessible to the MySQL database user. Depending on the privileges granted to the database account, an attacker may also be able to modify or delete data. The broad attack surface — any registered user can trigger the like/dislike action — significantly increases the risk of exploitation in multi-tenant or publicly accessible AVideo deployments (GitHub Advisory).
A proof-of-concept exploit is publicly available in the GitHub Security Advisory (GHSA-fj74-qxj7-r3vc), which includes a specific, reproducible HTTP POST request demonstrating the UNION-based injection against the live endpoint. As of the advisory publication, there is no confirmed evidence of in-the-wild exploitation. The EPSS score is approximately 0.044% (0.000440), indicating a low but non-negligible probability of exploitation within 30 days. The vulnerability is not currently listed in the CISA Known Exploited Vulnerabilities (KEV) catalog (GitHub Advisory, Feedly).
/objects/likeAjax.json.php via HTTP POST.videos_id parameter using a UNION-based SQL payload, e.g.:POST /objects/likeAjax.json.php
videos_id=1 UNION SELECT user,password,3,4,5,6,7,8 FROM users-- -SELECT * FROM likes WHERE users_id = 1 AND videos_id = 1 UNION SELECT user,password,3,4,5,6,7,8 FROM users-- - LIMIT 1;/objects/likeAjax.json.php containing SQL keywords such as UNION, SELECT, FROM, --, or encoded equivalents in the videos_id parameter./objects/likeAjax.json.php with abnormally long or non-numeric videos_id values; database error logs indicating unexpected SQL syntax or query structure anomalies.UNION SELECT statements originating from the AVideo application's database user (GitHub Advisory).Upgrade WWBN AVideo to version 26.0 or later, which includes the patch applied in commit 0215d3c (Patch Commit). The fix replaces the unsafe string concatenation with a fully parameterized query (? placeholder for both users_id and videos_id) and adds intval() casting in the Like class constructor and videosHashToID() function. As an interim workaround if immediate upgrade is not possible, apply the principle of least privilege to the database account used by AVideo to restrict UPDATE and DELETE permissions, limiting the potential impact of exploitation (GitHub Advisory).
The vulnerability was reported by security researcher athuljayaram and published by the AVideo maintainer DanielnetoDotCom on March 24, 2026. The advisory was noted on Bluesky via automated CVE tracking accounts shortly after NVD publication. No significant broader media coverage or notable researcher commentary beyond the advisory itself has been identified (GitHub Advisory).
Source: This report was generated using AI
Free Vulnerability Assessment
Evaluate your cloud security practices across 9 security domains to benchmark your risk level and identify gaps in your defenses.
Get a personalized demo
"Best User Experience I have ever seen, provides full visibility to cloud workloads."
"Wiz provides a single pane of glass to see what is going on in our cloud environments."
"We know that if Wiz identifies something as critical, it actually is."