Jonard Koillection 1.8.0 Custom Scraper Subsystem server-side request forgery
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.1 | $0-$5k | 0.00 |
Summary
A vulnerability has been found in Jonard Koillection 1.8.0 and classified as critical. This impacts an unknown function of the component Custom Scraper Subsystem. The manipulation leads to server-side request forgery. This vulnerability is documented as CVE-2026-50888. The attack can be initiated remotely. There is not any exploit available.
Details
A vulnerability, which was classified as critical, has been found in Jonard Koillection 1.8.0. This issue affects an unknown part of the component Custom Scraper Subsystem. The manipulation with an unknown input leads to a server-side request forgery vulnerability. Using CWE to declare the problem leads to CWE-918. The web server receives a URL or similar request from an upstream component and retrieves the contents of this URL, but it does not sufficiently ensure that the request is being sent to the expected destination. Impacted is confidentiality, integrity, and availability. The summary by CVE is:
An authenticated Server-Side Request Forgery (SSRF) in the custom scraper subsystem component of Benjamin Jonard Koillection v1.8.0 allows attackers to scan internal resources via supplying a crafted URL.
It is possible to read the advisory at gist.github.com. The identification of this vulnerability is CVE-2026-50888 since 06/07/2026. The exploitation is known to be easy. The attack may be initiated remotely. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 06/16/2026).
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: 🔍
CVSSv3
VulDB Meta Base Score: 6.3VulDB Meta Temp Score: 6.1
VulDB Base Score: 6.3
VulDB Temp Score: 6.1
VulDB Vector: 🔒
VulDB Reliability: 🔍
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: Server-side request forgeryCWE: CWE-918
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
EPSS Score: 🔒
EPSS Percentile: 🔒
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
06/07/2026 CVE reserved06/16/2026 Advisory disclosed
06/16/2026 VulDB entry created
06/16/2026 VulDB entry last update
Sources
Advisory: gist.github.comStatus: Not defined
CVE: CVE-2026-50888 (🔒)
GCVE (CVE): GCVE-0-2026-50888
GCVE (VulDB): GCVE-100-371171
Entry
Created: 06/16/2026 06:54Changes: 06/16/2026 06:54 (53)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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