MLAlchemy up to 0.2.1 YAML Parser parser.py parse_yaml_query command injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 8.1 | $0-$5k | 0.00 |
Summary
A vulnerability was found in MLAlchemy up to 0.2.1. It has been rated as critical. This affects the function parse_yaml_query of the file parser.py of the component YAML Parser. Performing a manipulation results in command injection.
This vulnerability is identified as CVE-2017-16615. The attack can be initiated remotely. There is not any exploit available.
Upgrading the affected component is advised.
Details
A vulnerability was found in MLAlchemy up to 0.2.1. It has been classified as critical. This affects the function parse_yaml_query of the file parser.py of the component YAML Parser. The manipulation with an unknown input leads to a command injection vulnerability. CWE is classifying the issue as CWE-77. The product constructs all or part of a command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended command when it is sent to a downstream component. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
An exploitable vulnerability exists in the YAML parsing functionality in the parse_yaml_query method in parser.py in MLAlchemy before 0.2.2. When processing YAML-Based queries for data, a YAML parser can execute arbitrary Python commands resulting in command execution because load is used where safe_load should have been used. An attacker can insert Python into loaded YAML to trigger this vulnerability.
The bug was discovered 11/07/2017. The weakness was released 11/08/2017 (GitHub Repository). The advisory is shared at github.com. This vulnerability is uniquely identified as CVE-2017-16615 since 11/06/2017. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. Technical details are known, but no exploit is available. MITRE ATT&CK project uses the attack technique T1202 for this issue.
Upgrading to version 0.2.2 eliminates this vulnerability.
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Product
Name
Version
License
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 8.5VulDB Meta Temp Score: 8.1
VulDB Base Score: 7.3
VulDB Temp Score: 6.4
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 9.8
NVD Vector: 🔍
CVSSv2
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Command injectionCWE: CWE-77 / CWE-74 / CWE-707
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 Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔍
Upgrade: MLAlchemy 0.2.2
Patch: github.com
Timeline
11/06/2017 🔍11/07/2017 🔍
11/07/2017 🔍
11/08/2017 🔍
11/08/2017 🔍
01/06/2023 🔍
Sources
Advisory: bc795757febdcce430d89f9d08f75c32d6989d3cStatus: Not defined
Confirmation: 🔍
CVE: CVE-2017-16615 (🔍)
GCVE (CVE): GCVE-0-2017-16615
GCVE (VulDB): GCVE-100-109221
Entry
Created: 11/08/2017 13:14Updated: 01/06/2023 18:56
Changes: 11/08/2017 13:14 (58), 12/05/2019 09:21 (2), 01/06/2023 18:56 (5)
Complete: 🔍
Cache ID: 216::103
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