YFCMF 3.0 adminsave.html cross-site request forgery

CVSS Meta Temp Score
CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.
Current Exploit Price (≈)
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CTI Interest Score
Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
6.5$0-$5k0.00

Summaryinfo

A vulnerability was found in YFCMF 3.0. It has been classified as problematic. This vulnerability affects unknown code of the file admin/admin/adminsave.html. Performing a manipulation results in cross-site request forgery. This vulnerability is known as CVE-2018-16431. Remote exploitation of the attack is possible. No exploit is available.

Detailsinfo

A vulnerability, which was classified as problematic, was found in YFCMF 3.0. This affects an unknown code block of the file admin/admin/adminsave.html. 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:

admin/admin/adminsave.html in YFCMF v3.0 allows CSRF to add an administrator account.

The bug was discovered 08/23/2018. The weakness was published 09/04/2018 (Website). It is possible to read the advisory at hpdoger.me. This vulnerability is uniquely identified as CVE-2018-16431 since 09/03/2018. 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 of the vulnerability are known, but there is no available exploit.

The vulnerability was handled as a non-public zero-day exploit for at least 11 days. During that time the estimated underground price was around $0-$5k. By approaching the search of inurl:admin/admin/adminsave.html 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.

Productinfo

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 6.6
VulDB Meta Temp Score: 6.6

VulDB Base Score: 4.3
VulDB Temp Score: 4.3
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 8.8
NVD Vector: 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

NVD Base Score: 🔍

Exploitinginfo

Class: Cross-site request forgery
CWE: CWE-352 / CWE-862 / CWE-863
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Not defined
Google Hack: 🔍

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

08/23/2018 🔍
09/03/2018 +10 days 🔍
09/03/2018 +0 days 🔍
09/04/2018 +1 days 🔍
09/04/2018 +0 days 🔍
03/20/2020 +563 days 🔍

Sourcesinfo

Advisory: hpdoger.me
Status: Not defined

CVE: CVE-2018-16431 (🔍)
GCVE (CVE): GCVE-0-2018-16431
GCVE (VulDB): GCVE-100-123555

Entryinfo

Created: 09/04/2018 15:47
Updated: 03/20/2020 13:39
Changes: 09/04/2018 15:47 (55), 03/20/2020 13:39 (1)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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