Harmonic NSG 9000 webapp.py Request Source 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.
5.4$0-$5k0.00

Summaryinfo

A vulnerability classified as problematic has been found in Harmonic NSG 9000. This affects an unknown function of the file webapp.py. Performing a manipulation as part of Request results in information disclosure (Source). This vulnerability is known as CVE-2018-14941. Remote exploitation of the attack is possible. No exploit is available.

Detailsinfo

A vulnerability classified as problematic has been found in Harmonic NSG 9000 (version now known). This affects some unknown processing of the file webapp.py. The manipulation as part of a Request leads to a information disclosure vulnerability (Source). CWE is classifying the issue as CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. This is going to have an impact on confidentiality. The summary by CVE is:

Harmonic NSG 9000 devices allow remote authenticated users to read the webapp.py source code via a direct request for the /webapp.py URI.

The bug was discovered 07/28/2018. The weakness was published 08/05/2018 (Website). The advisory is shared at github.com. This vulnerability is uniquely identified as CVE-2018-14941 since 08/05/2018. The exploitability is told to be easy. It is possible to initiate the attack remotely. Required for exploitation is a authentication. Technical details are known, but no exploit is 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 8 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.

Similar entries are available at VDB-122626 and VDB-122627. Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

Productinfo

Vendor

Name

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.4
VulDB Meta Temp Score: 5.4

VulDB Base Score: 4.3
VulDB Temp Score: 4.3
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 6.5
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

Name: Source
Class: Information disclosure / Source
CWE: CWE-200 / CWE-284 / CWE-266
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

07/28/2018 🔍
08/05/2018 +7 days 🔍
08/05/2018 +0 days 🔍
08/05/2018 +0 days 🔍
08/06/2018 +1 days 🔍
03/13/2020 +585 days 🔍

Sourcesinfo

Advisory: github.com
Status: Not defined

CVE: CVE-2018-14941 (🔍)
GCVE (CVE): GCVE-0-2018-14941
GCVE (VulDB): GCVE-100-122625
See also: 🔍

Entryinfo

Created: 08/06/2018 06:57
Updated: 03/13/2020 14:38
Changes: 08/06/2018 06:57 (59), 03/13/2020 14:38 (1)
Complete: 🔍
Cache ID: 216::103

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

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