Btiteam XBTIT 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.
6.1$0-$5k0.00

Summaryinfo

A vulnerability was found in Btiteam XBTIT. It has been classified as problematic. This issue affects some unknown processing. The manipulation leads to cross-site request forgery. This vulnerability is documented as CVE-2018-15682. The attack can be initiated remotely. There is not any exploit available.

Detailsinfo

A vulnerability was found in Btiteam XBTIT (unknown version) and classified as problematic. This issue affects an unknown code block. 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:

An issue was discovered in BTITeam XBTIT. Due to a lack of cross-site request forgery protection, it is possible to automate the action of sending private messages to users by luring an authenticated user to a web page that automatically submits a form on their behalf.

The bug was discovered 09/03/2018. The weakness was released 09/05/2018 (Website). It is possible to read the advisory at rastating.github.io. The identification of this vulnerability is CVE-2018-15682 since 08/21/2018. The attack may be initiated remotely. The requirement for exploitation is a simple authentication. It demands that the victim is doing some kind of user interaction. The technical details are unknown and an exploit is not publicly available.

The vulnerability was handled as a non-public zero-day exploit for at least 2 days. During that time the estimated underground price was around $0-$5k.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

Entries connected to this vulnerability are available at VDB-123605, VDB-123609, VDB-123610 and VDB-123612. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Vendor

Name

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 6.1
VulDB Meta Temp Score: 6.1

VulDB Base Score: 3.5
VulDB Temp Score: 3.5
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

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

08/21/2018 🔍
09/03/2018 +13 days 🔍
09/05/2018 +1 days 🔍
09/05/2018 +0 days 🔍
09/06/2018 +1 days 🔍
03/20/2020 +561 days 🔍

Sourcesinfo

Advisory: rastating.github.io
Status: Not defined

CVE: CVE-2018-15682 (🔍)
GCVE (CVE): GCVE-0-2018-15682
GCVE (VulDB): GCVE-100-123611
See also: 🔍

Entryinfo

Created: 09/06/2018 14:04
Updated: 03/20/2020 19:09
Changes: 09/06/2018 14:04 (55), 03/20/2020 19:09 (1)
Complete: 🔍
Cache ID: 216::103

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

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