Cloudera Data Science Workbench up to 1.1.x access control

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.
7.2$0-$5k0.00

Summaryinfo

A vulnerability has been found in Cloudera Data Science Workbench up to 1.1.x and classified as critical. The impacted element is an unknown function. This manipulation causes access control. This vulnerability is handled as CVE-2017-15536. The attack can be initiated remotely. There is not any exploit available. The affected component should be upgraded.

Detailsinfo

A vulnerability has been found in Cloudera Data Science Workbench up to 1.1.x (Cloud Software) and classified as critical. Affected by this vulnerability is an unknown part. The manipulation with an unknown input leads to a access control vulnerability. The CWE definition for the vulnerability is CWE-264. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:

An issue was discovered in Cloudera Data Science Workbench (CDSW) 1.x before 1.2.0. Several web application vulnerabilities allow malicious authenticated users of CDSW to escalate privileges in CDSW. CDSW users can exploit these vulnerabilities in combination to gain root access to CDSW nodes, gain access to the CDSW database which includes Kerberos keytabs of CDSW users and bcrypt hashed passwords, and gain access to other privileged information such as session tokens, invitation tokens, and environment variables.

The bug was discovered 10/17/2017. The weakness was released 02/05/2018 (Website). The advisory is shared at cloudera.com. This vulnerability is known as CVE-2017-15536 since 10/17/2017. The exploitation appears to be easy. The attack can be launched remotely. A single authentication is necessary for exploitation. Neither technical details nor an exploit are publicly available. MITRE ATT&CK project uses the attack technique T1068 for this issue.

The vulnerability was handled as a non-public zero-day exploit for at least 110 days. During that time the estimated underground price was around $0-$5k.

Upgrading to version 1.2.0 eliminates this vulnerability.

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

Productinfo

Type

Vendor

Name

Version

License

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 7.6
VulDB Meta Temp Score: 7.4

VulDB Base Score: 6.3
VulDB Temp Score: 6.0
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: Access control
CWE: CWE-264
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: Upgrade
Status: 🔍

0-Day Time: 🔍

Upgrade: Data Science Workbench 1.2.0

Timelineinfo

10/17/2017 🔍
10/17/2017 +0 days 🔍
02/04/2018 +110 days 🔍
02/05/2018 +1 days 🔍
02/05/2018 +0 days 🔍
01/01/2020 +695 days 🔍

Sourcesinfo

Advisory: cloudera.com
Status: Not defined
Confirmation: 🔍

CVE: CVE-2017-15536 (🔍)
GCVE (CVE): GCVE-0-2017-15536
GCVE (VulDB): GCVE-100-112801

Entryinfo

Created: 02/05/2018 14:55
Updated: 01/01/2020 15:10
Changes: 02/05/2018 14:55 (58), 01/01/2020 15:10 (2)
Complete: 🔍
Cache ID: 216::103

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