IBM Spectrum Scale up to 4.2.3 Dump File information disclosure

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.
3.5$0-$5k0.00

Summaryinfo

A vulnerability marked as problematic has been reported in IBM Spectrum Scale 4.1.1/4.2.0/4.2.1/4.2.2/4.2.3. This impacts an unknown function of the component Dump File Handler. This manipulation causes information disclosure. This vulnerability appears as CVE-2017-1654. The attack requires local access. There is no available exploit.

Detailsinfo

A vulnerability classified as problematic was found in IBM Spectrum Scale 4.1.1/4.2.0/4.2.1/4.2.2/4.2.3 (Network Attached Storage Software). Affected by this vulnerability is an unknown code of the component Dump File Handler. The manipulation with an unknown input leads to a information disclosure vulnerability. The CWE definition for the vulnerability is CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. As an impact it is known to affect confidentiality. The summary by CVE is:

IBM Spectrum Scale 4.1.1 and 4.2.0 - 4.2.3 could allow a local unprivileged user access to information located in dump files. User data could be sent to IBM during service engagements. IBM X-Force ID: 133378.

The bug was discovered 02/26/2018. The weakness was presented 03/02/2018 (Website). The advisory is shared at ibm.com. This vulnerability is known as CVE-2017-1654 since 11/30/2016. An attack has to be approached locally. A single authentication is needed for exploitation. Neither technical details nor an exploit are publicly available. MITRE ATT&CK project uses the attack technique T1592 for this issue.

The vulnerability was handled as a non-public zero-day exploit for at least 4 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.

If you want to get the best quality for vulnerability data then you always have to consider VulDB.

Productinfo

Type

Vendor

Name

Version

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 3.5
VulDB Meta Temp Score: 3.5

VulDB Base Score: 3.3
VulDB Temp Score: 3.3
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 3.3
NVD Vector: 🔍

CNA Base Score: 4.0
CNA Vector (IBM Corporation): 🔍

CVSSv2info

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

NVD Base Score: 🔍

Exploitinginfo

Class: Information disclosure
CWE: CWE-200 / CWE-284 / CWE-266
CAPEC: 🔍
ATT&CK: 🔍

Physical: Partially
Local: Yes
Remote: No

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

11/30/2016 🔍
02/26/2018 +453 days 🔍
03/02/2018 +4 days 🔍
03/02/2018 +0 days 🔍
03/03/2018 +1 days 🔍
02/16/2023 +1811 days 🔍

Sourcesinfo

Vendor: ibm.com

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

CVE: CVE-2017-1654 (🔍)
GCVE (CVE): GCVE-0-2017-1654
GCVE (VulDB): GCVE-100-114013
X-Force: 133378
SecurityTracker: 1040747

Entryinfo

Created: 03/03/2018 10:06
Updated: 02/16/2023 14:33
Changes: 03/03/2018 10:06 (58), 01/10/2020 08:14 (2), 02/16/2023 14:29 (4), 02/16/2023 14:33 (12)
Complete: 🔍
Cache ID: 216::103

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