WWBN AVideo up to 29.7.1 Hybridauth Social Login login.json.php improper authentication
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 8.4 | $0-$5k | 0.00+ |
Summary
A vulnerability, which was classified as critical, has been found in WWBN AVideo up to 29.7.1. Affected is an unknown function of the file login.json.php of the component Hybridauth Social Login. Performing a manipulation results in improper authentication. This vulnerability is known as CVE-2026-126542. Remote exploitation of the attack is possible. No exploit is available.
Details
A vulnerability classified as critical has been found in WWBN AVideo up to 29.7.1. This affects an unknown functionality of the file login.json.php of the component Hybridauth Social Login. The manipulation with an unknown input leads to a improper authentication vulnerability. CWE is classifying the issue as CWE-287. When an actor claims to have a given identity, the product does not prove or insufficiently proves that the claim is correct. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
WWBN AVideo 6.5 through 29.7.1 contains an authentication bypass vulnerability that allows unauthenticated attackers to log in as any user via Hybridauth social login display names. Attackers can set their X, Facebook, Yahoo or LinkedIn display name to a victim's username and withhold email, causing login.json.php or oauth2.php to log them in as that account, including administrators, without a password.
It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2026-126542 since 11/11/2026. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. Technical details of the vulnerability are known, but there is no available exploit. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 11/11/2026).
By approaching the search of inurl:login.json.php it is possible to find vulnerable targets with Google Hacking.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
License
Website
- Product: https://github.com/WWBN/AVideo/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒
CVSSv3
VulDB Meta Base Score: 8.5VulDB Meta Temp Score: 8.4
VulDB Base Score: 7.3
VulDB Temp Score: 7.1
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 9.8
CNA Vector (VulnCheck): 🔒
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Improper authenticationCWE: CWE-287
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
Google Hack: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
11/11/2026 Advisory disclosed11/11/2026 CVE reserved
11/11/2026 VulDB entry created
11/11/2026 VulDB entry last update
Sources
Product: github.comAdvisory: github.com
Status: Not defined
CNA: VulnCheck
CVE: CVE-2026-126542 (🔒)
GCVE (CVE): GCVE-0-2026-126542
GCVE (VulDB): GCVE-100-435555
Entry
Created: 11/11/2026 02:08Changes: 11/11/2026 02:08 (75)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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