SourceCodester Drug Recommendation System 1.0 cross-site request forgery
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 3.9 | $0-$5k | 2.32 |
Summary
A vulnerability classified as problematic has been found in SourceCodester Drug Recommendation System 1.0. Affected by this vulnerability is an unknown functionality. The manipulation leads to cross-site request forgery. This vulnerability is traded as CVE-2026-105706. It is possible to initiate the attack remotely. Furthermore, there is an exploit available.
Details
A vulnerability was found in SourceCodester Drug Recommendation System 1.0 and classified as problematic. This issue affects some unknown processing. 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.
It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2026-105706. 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. Technical details are unknown but a public exploit is available.
The exploit is available at github.com. It is declared as proof-of-concept.
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
- Vendor: https://www.sourcecodester.com/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 4.3VulDB Meta Temp Score: 3.9
VulDB Base Score: 4.3
VulDB Temp Score: 3.9
VulDB Vector: 🔒
VulDB Reliability: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 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: 🔒
Access: Public
Status: Proof-of-Concept
Download: 🔒
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
10/05/2026 Advisory disclosed10/05/2026 VulDB entry created
10/05/2026 VulDB entry last update
Sources
Vendor: sourcecodester.comAdvisory: github.com
Status: Not defined
CVE: CVE-2026-105706 (🔒)
GCVE (CVE): GCVE-0-2026-105706
GCVE (VulDB): GCVE-100-413699
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 10/05/2026 20:28Changes: 10/05/2026 20:28 (53)
Complete: 🔍
Submitter: BI1IHA
Cache ID: 216::103
Submit
Accepted
- Submit #992055: SourceCodester Drug Recommendation System Using Machine Learning 1.0 (SourceCodester Release 18278) Cross Site Request Forgery (by BI1IHA)
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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