Adikiss Sistem Informasi Pengumuman Kelulusan Online up to 1.0 tambahuser.php cross-site request forgery
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.6 | $0-$5k | 0.00 |
Summary
A vulnerability was found in Adikiss Sistem Informasi Pengumuman Kelulusan Online up to 1.0. It has been rated as problematic. This impacts an unknown function of the file tambahuser.php. Performing a manipulation results in cross-site request forgery. This vulnerability is cataloged as CVE-2020-37046. It is possible to initiate the attack remotely. Furthermore, there is an exploit available.
Details
A vulnerability classified as problematic has been found in Adikiss Sistem Informasi Pengumuman Kelulusan Online up to 1.0. This affects an unknown function of the file tambahuser.php. The manipulation with an unknown input leads to a cross-site request forgery vulnerability. CWE is classifying the issue as 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. This is going to have an impact on integrity. The summary by CVE is:
Sistem Informasi Pengumuman Kelulusan Online 1.0 contains a cross-site request forgery vulnerability that allows attackers to add unauthorized admin users through the tambahuser.php endpoint. Attackers can craft a malicious HTML form to submit admin credentials and create new administrative accounts without the victim's consent.
The weakness was shared by Extinction as 48571. It is possible to read the advisory at exploit-db.com. This vulnerability is uniquely identified as CVE-2020-37046 since 01/28/2026. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. It demands that the victim is doing some kind of user interaction. Technical details and a public exploit are known.
The exploit is shared for download at exploit-db.com. It is declared as proof-of-concept. By approaching the search of inurl:tambahuser.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.
The vulnerability is also documented in the databases at Exploit-DB (48571) and EUVD (EUVD-2020-30933). 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: 4.8VulDB Meta Temp Score: 4.6
VulDB Base Score: 4.3
VulDB Temp Score: 3.9
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 5.3
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: 🔒
Access: Public
Status: Proof-of-Concept
Download: 🔒
Google Hack: 🔒
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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| Today | Unlock | Unlock | Unlock | Unlock |
Exploit-DB: 🔒
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
01/28/2026 CVE reserved01/31/2026 Advisory disclosed
01/31/2026 VulDB entry created
01/31/2026 VulDB entry last update
Sources
Advisory: 48571Researcher: Extinction
Status: Not defined
CVE: CVE-2020-37046 (🔒)
GCVE (CVE): GCVE-0-2020-37046
GCVE (VulDB): GCVE-100-343539
EUVD: 🔒
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 01/31/2026 03:13Updated: 01/31/2026 04:57
Changes: 01/31/2026 03:13 (80), 01/31/2026 04:57 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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