Webasyst Framework up to 4.4.0 Photos App cross-site request forgery
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.3 | $0-$5k | 1.52 |
Summary
A vulnerability has been found in Webasyst Framework up to 4.4.0 and classified as problematic. The affected element is an unknown function of the component Photos App. The manipulation leads to cross-site request forgery. This vulnerability is listed as CVE-2026-116210. The attack may be initiated remotely. There is no available exploit.
Details
A vulnerability was found in Webasyst Framework up to 4.4.0 and classified as problematic. This issue affects an unknown part of the component Photos App. The manipulation with an unknown input leads to a cross-site request forgery vulnerability. Using CWE to declare the problem leads to CWE-352. The web application does not, or can not, sufficiently verify whether a well-formed, valid, consistent request was intentionally provided by the user who submitted the request. Impacted is integrity. The summary by CVE is:
Webasyst Framework through 4.4.0 contains a cross-site request forgery vulnerability in the Photos app that allows remote attackers to perform backend actions because the app does not enable the framework's opt-in CSRF check. Attackers can lure logged-in Photos users to a malicious page that submits forged POST requests to photo/delete, album/save, photo/manageAccessSave or photo/saveField, deleting photos and changing access rights.
It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2026-116210 since 10/25/2026. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. It demands that the victim is doing some kind of user interaction. The technical details are unknown and an exploit is not publicly available.
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
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: 5.4VulDB Meta Temp Score: 5.3
VulDB Base Score: 4.3
VulDB Temp Score: 4.2
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 6.5
CNA Vector (VulnCheck): 🔒
CVSSv2
| AV | AC | Au | C | I | A |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Cross-site request forgeryCWE: CWE-352 / CWE-862 / CWE-863
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
10/25/2026 CVE reserved10/26/2026 Advisory disclosed
10/26/2026 VulDB entry created
10/26/2026 VulDB entry last update
Sources
Advisory: github.comStatus: Not defined
CVE: CVE-2026-116210 (🔒)
GCVE (CVE): GCVE-0-2026-116210
GCVE (VulDB): GCVE-100-426443
Entry
Created: 10/26/2026 15:43Changes: 10/26/2026 15:43 (74)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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