Kanboard up to 1.0.45 password recovery

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 (≈) Our analysts are monitoring exploit markets and are in contact with vulnerability brokers. The range indicates the observed or calculated exploit price to be seen on exploit markets. A good indicator to understand the monetary effort required for and the popularity of an attack.	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.
7.2	$0-$5k	0.00

Summaryinfo

A vulnerability has been found in Kanboard up to 1.0.45 and classified as problematic. Impacted is an unknown function. Performing a manipulation results in password recovery. This vulnerability is reported as CVE-2017-12851. The attack is possible to be carried out remotely. No exploit exists. The affected component should be upgraded.

Detailsinfo

A vulnerability was found in Kanboard up to 1.0.45 (Forum Software). It has been classified as problematic. This affects an unknown part. The manipulation with an unknown input leads to a password recovery vulnerability. CWE is classifying the issue as CWE-640. The product contains a mechanism for users to recover or change their passwords without knowing the original password, but the mechanism is weak. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

An authenticated standard user could reset the password of the admin by altering form data. Affects kanboard before 1.0.46.

The bug was discovered 08/12/2017. The weakness was disclosed 08/14/2017 (GitHub Repository). The advisory is shared at github.com. This vulnerability is uniquely identified as CVE-2017-12851 since 08/14/2017. It is possible to initiate the attack remotely. A authentication is necessary for exploitation. Neither technical details nor an exploit are publicly available. MITRE ATT&CK project uses the attack technique T1552 for this issue.

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. The vulnerability scanner Nessus provides a plugin with the ID 102797 (FreeBSD : kanboard -- multiple privilege escalation vulnerabilities (7d7e05fb-64da-435a-84fb-4061493b89b9)), which helps to determine the existence of the flaw in a target environment. It is assigned to the family FreeBSD Local Security Checks and running in the context l.

Upgrading to version 1.0.46 eliminates this vulnerability. A possible mitigation has been published 2 weeks after the disclosure of the vulnerability.

The vulnerability is also documented in the databases at Tenable (102797) and SecurityFocus (BID 100352†). The entry VDB-105296 is pretty similar. Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

Productinfo

Type

• Forum Software

Name

• Kanboard

Version

• 1.0.0
• 1.0.1
• 1.0.2
• 1.0.3
• 1.0.4
• 1.0.5
• 1.0.6
• 1.0.7
• 1.0.8
• 1.0.9
• 1.0.10
• 1.0.11
• 1.0.12
• 1.0.13
• 1.0.14
• 1.0.15
• 1.0.16
• 1.0.17
• 1.0.18
• 1.0.19
• 1.0.20
• 1.0.21
• 1.0.22
• 1.0.23
• 1.0.24
• 1.0.25
• 1.0.26
• 1.0.27
• 1.0.28
• 1.0.29
• 1.0.30
• 1.0.31
• 1.0.32
• 1.0.33
• 1.0.34
• 1.0.35
• 1.0.36
• 1.0.37
• 1.0.38
• 1.0.39
• 1.0.40
• 1.0.41
• 1.0.42
• 1.0.43
• 1.0.44
• 1.0.45

License

• open-source

Website

• Product: https://github.com/kanboard/kanboard/

CPE 2.3info

• 🔍
• 🔍
• 🔍

CPE 2.2info

• 🔍
• 🔍
• 🔍

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 7.6
VulDB Meta Temp Score: 7.2

VulDB Base Score: 6.3
VulDB Temp Score: 5.6
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 8.8
NVD Vector: 🔍

CVSSv2info

AV	AC	Au	C	I	A
💳	💳	💳	💳	💳	💳
💳	💳	💳	💳	💳	💳
💳	💳	💳	💳	💳	💳

Vector	Complexity	Authentication	Confidentiality	Integrity	Availability
Unlock	Unlock	Unlock	Unlock	Unlock	Unlock
Unlock	Unlock	Unlock	Unlock	Unlock	Unlock
Unlock	Unlock	Unlock	Unlock	Unlock	Unlock

VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

NVD Base Score: 🔍

Exploitinginfo

Class: Password recovery
CWE: CWE-640
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
Today	Unlock	Unlock	Unlock	Unlock

Nessus ID: 102797
Nessus Name: FreeBSD : kanboard -- multiple privilege escalation vulnerabilities (7d7e05fb-64da-435a-84fb-4061493b89b9)
Nessus File: 🔍
Nessus Risk: 🔍
Nessus Family: 🔍
Nessus Context: 🔍

OpenVAS ID: 800891
OpenVAS Name: Kanboard Multiple Vulnerabilities
OpenVAS File: 🔍
OpenVAS Family: 🔍

Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

Reaction Time: 🔍
0-Day Time: 🔍
Exposure Time: 🔍

Upgrade: Kanboard 1.0.46
Patch: github.com

Timelineinfo

08/12/2017 🔍
08/14/2017 +2 days 🔍
08/14/2017 +0 days 🔍
08/14/2017 +0 days 🔍
08/15/2017 +1 days 🔍
08/15/2017 +0 days 🔍
08/26/2017 +11 days 🔍
08/28/2017 +2 days 🔍
12/15/2022 +1935 days 🔍

Sourcesinfo

Product: github.com

Advisory: b79b18efd7a1a8b591753a4eddd473f88d55b7df
Researcher: chbi
Status: Not defined
Confirmation: 🔍

CVE: CVE-2017-12851 (🔍)
GCVE (CVE): GCVE-0-2017-12851
GCVE (VulDB): GCVE-100-105297
SecurityFocus: 100352 - Kanboard Multiple Privilege Escalation Vulnerabilities

See also: 🔍

Entryinfo

Created: 08/15/2017 08:58
Updated: 12/15/2022 17:46
Changes: 08/15/2017 08:58 (74), 11/07/2019 06:20 (5), 01/09/2021 12:46 (2), 12/15/2022 17:46 (4)
Complete: 🔍
Cache ID: 216::103

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

Discussion

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