grunt-webdriver-qunit on Node.js Download cryptographic issue
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.8 | $0-$5k | 0.00 |
Summary
A vulnerability was found in grunt-webdriver-qunit on Node.js. It has been classified as critical. Affected by this issue is some unknown functionality of the component Download. Performing a manipulation results in cryptographic issue. This vulnerability is known as CVE-2016-10606. Remote exploitation of the attack is possible. No exploit is available.
Details
A vulnerability, which was classified as critical, was found in grunt-webdriver-qunit on Node.js (JavaScript Library) (unknown version). This affects an unknown code block of the component Download. The manipulation with an unknown input leads to a cryptographic issue vulnerability. CWE is classifying the issue as CWE-310. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
grunt-webdriver-qunit is a grunt plugin to run qunit with webdriver in grunt grunt-webdriver-qunit downloads binary resources over HTTP, which leaves it vulnerable to MITM attacks. It may be possible to cause remote code execution (RCE) by swapping out the requested binary with an attacker controlled binary if the attacker is on the network or positioned in between the user and the remote server.
The bug was discovered 01/01/2017. The weakness was published 06/01/2018 (Website). It is possible to read the advisory at nodesecurity.io. This vulnerability is uniquely identified as CVE-2016-10606 since 10/29/2017. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1600 according to MITRE ATT&CK.
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.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Name
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.8VulDB Meta Temp Score: 6.8
VulDB Base Score: 5.6
VulDB Temp Score: 5.6
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 8.1
NVD Vector: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Cryptographic issueCWE: CWE-310
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
01/01/2017 🔍10/29/2017 🔍
06/01/2018 🔍
06/01/2018 🔍
06/02/2018 🔍
02/11/2020 🔍
Sources
Advisory: nodesecurity.ioStatus: Not defined
CVE: CVE-2016-10606 (🔍)
GCVE (CVE): GCVE-0-2016-10606
GCVE (VulDB): GCVE-100-118515
Entry
Created: 06/02/2018 14:40Updated: 02/11/2020 08:09
Changes: 06/02/2018 14:40 (57), 02/11/2020 08:09 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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