install-g-test on Node.js Download cryptographic issue

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.
5.7$0-$5k0.00

Summaryinfo

A vulnerability classified as critical has been found in install-g-test on Node.js. Affected by this issue is some unknown functionality of the component Download. This manipulation causes cryptographic issue. This vulnerability is tracked as CVE-2016-10630. The attack is possible to be carried out remotely. No exploit exists.

Detailsinfo

A vulnerability was found in install-g-test on Node.js (JavaScript Library) (version now known). It has been declared as critical. Affected by this vulnerability is some unknown processing of the component Download. The manipulation with an unknown input leads to a cryptographic issue vulnerability. The CWE definition for the vulnerability is CWE-310. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:

install-g-test downloads resources over HTTP, which leaves it vulnerable to MITM attacks.

The bug was discovered 01/01/2017. The weakness was disclosed 06/01/2018 (Website). The advisory is shared at nodesecurity.io. This vulnerability is known as CVE-2016-10630 since 10/29/2017. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Neither technical details nor an exploit are publicly available. MITRE ATT&CK project uses the attack technique T1600 for this issue.

The vulnerability was handled as a non-public zero-day exploit for at least 516 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.

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

Productinfo

Type

Name

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.7
VulDB Meta Temp Score: 5.7

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

NVD Base Score: 5.9
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: Cryptographic issue
CWE: CWE-310
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

01/01/2017 🔍
10/29/2017 +301 days 🔍
06/01/2018 +214 days 🔍
06/01/2018 +0 days 🔍
06/02/2018 +1 days 🔍
02/11/2020 +619 days 🔍

Sourcesinfo

Advisory: nodesecurity.io
Status: Not defined

CVE: CVE-2016-10630 (🔍)
GCVE (CVE): GCVE-0-2016-10630
GCVE (VulDB): GCVE-100-118537

Entryinfo

Created: 06/02/2018 14:52
Updated: 02/11/2020 09:19
Changes: 06/02/2018 14:52 (56), 02/11/2020 09:19 (1)
Complete: 🔍
Cache ID: 216::103

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

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