IBM Security Network Protection XGS 7100 40-GbE Network Interface denial of service

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.
3.3$0-$5k0.00

Summaryinfo

A vulnerability was found in IBM Security Network Protection XGS 7100. It has been classified as problematic. Affected by this issue is some unknown functionality of the component 40-GbE Network Interface Module. This manipulation causes denial of service. This vulnerability is handled as CVE-2017-1298. There is not any exploit available.

Detailsinfo

A vulnerability has been found in IBM Security Network Protection XGS 7100 and classified as problematic. Affected by this vulnerability is an unknown code block of the component 40-GbE Network Interface Module. The manipulation with an unknown input leads to a denial of service vulnerability. The CWE definition for the vulnerability is CWE-404. The product does not release or incorrectly releases a resource before it is made available for re-use. As an impact it is known to affect availability. The summary by CVE is:

A denial of service vulnerability has been discovered in 40-GbE network interface modules for IBM Security Network Protection XGS 7100 appliance. IBM X-Force ID: 125160.

The bug was discovered 04/27/2017. The weakness was released 04/28/2017 (Website). It is possible to read the advisory at www-01.ibm.com. This vulnerability is known as CVE-2017-1298 since 11/30/2016. 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 1 days. During that time the estimated underground price was around $5k-$25k.

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

Vendor

Name

Version

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 3.3
VulDB Meta Temp Score: 3.3

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

CVSSv2info

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

Exploitinginfo

Class: Denial of service
CWE: CWE-404
CAPEC: 🔍
ATT&CK: 🔍

Physical: Partially
Local: Yes
Remote: No

Availability: 🔍
Status: Not defined
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 🔍
04/27/2017 +148 days 🔍
04/28/2017 +1 days 🔍
04/28/2017 +0 days 🔍
04/28/2017 +0 days 🔍
09/21/2020 +1242 days 🔍

Sourcesinfo

Vendor: ibm.com

Advisory: www-01.ibm.com
Status: Not defined

CVE: CVE-2017-1298 (🔍)
GCVE (CVE): GCVE-0-2017-1298
GCVE (VulDB): GCVE-100-100651
OSVDB: - IBM Security Network Protection XGS denial of service

Entryinfo

Created: 04/28/2017 23:42
Updated: 09/21/2020 17:32
Changes: 04/28/2017 23:42 (42), 09/21/2020 17:32 (2)
Complete: 🔍
Cache ID: 216::103

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

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