numpy-1.19.5-cp37-cp37m-manylinux2010_x86_64.whl: 2 vulnerabilities (highest severity is: 5.3)
mend-for-github-com opened this issue · comments
Vulnerable Library - numpy-1.19.5-cp37-cp37m-manylinux2010_x86_64.whl
Fundamental package for array computing in Python
Library home page: https://files.pythonhosted.org/packages/08/d6/a6aaa29fea945bc6c61d11f6e0697b325ff7446de5ffd62c2fa02f627048/numpy-1.19.5-cp37-cp37m-manylinux2010_x86_64.whl
Path to dependency file: /tmp/ws-scm/Aspect-Based-Sentiment-Analysis
Path to vulnerable library: /tmp/ws-scm/Aspect-Based-Sentiment-Analysis,/.ws-temp-THFHIH-requirements.txt
Found in HEAD commit: d952432cb8d2cb53d7a0c189dc2d16fc535cdc75
Vulnerabilities
CVE | Severity | CVSS | Dependency | Type | Fixed in (numpy version) | Remediation Possible** |
---|---|---|---|---|---|---|
CVE-2021-34141 | Medium | 5.3 | numpy-1.19.5-cp37-cp37m-manylinux2010_x86_64.whl | Direct | 1.22.0 | ✅ |
CVE-2021-33430 | Medium | 5.3 | numpy-1.19.5-cp37-cp37m-manylinux2010_x86_64.whl | Direct | 1.21.0 | ✅ |
**In some cases, Remediation PR cannot be created automatically for a vulnerability despite the availability of remediation
Details
CVE-2021-34141
Vulnerable Library - numpy-1.19.5-cp37-cp37m-manylinux2010_x86_64.whl
Fundamental package for array computing in Python
Library home page: https://files.pythonhosted.org/packages/08/d6/a6aaa29fea945bc6c61d11f6e0697b325ff7446de5ffd62c2fa02f627048/numpy-1.19.5-cp37-cp37m-manylinux2010_x86_64.whl
Path to dependency file: /tmp/ws-scm/Aspect-Based-Sentiment-Analysis
Path to vulnerable library: /tmp/ws-scm/Aspect-Based-Sentiment-Analysis,/.ws-temp-THFHIH-requirements.txt
Dependency Hierarchy:
- ❌ numpy-1.19.5-cp37-cp37m-manylinux2010_x86_64.whl (Vulnerable Library)
Found in HEAD commit: d952432cb8d2cb53d7a0c189dc2d16fc535cdc75
Found in base branch: master
Vulnerability Details
An incomplete string comparison in the numpy.core component in NumPy before 1.22.0 allows attackers to trigger slightly incorrect copying by constructing specific string objects. NOTE: the vendor states that this reported code behavior is "completely harmless."
Mend Note: After conducting further research, Mend has determined that versions 1.12.0 through 1.21.6 of numpy are vulnerable to CVE-2021-34141
Publish Date: 2021-12-17
URL: CVE-2021-34141
CVSS 3 Score Details (5.3)
Base Score Metrics:
- Exploitability Metrics:
- Attack Vector: Network
- Attack Complexity: Low
- Privileges Required: None
- User Interaction: None
- Scope: Unchanged
- Impact Metrics:
- Confidentiality Impact: None
- Integrity Impact: None
- Availability Impact: Low
Suggested Fix
Type: Upgrade version
Origin: https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2021-34141
Release Date: 2021-12-17
Fix Resolution: 1.22.0
⛑️ Automatic Remediation will be attempted for this issue.
CVE-2021-33430
Vulnerable Library - numpy-1.19.5-cp37-cp37m-manylinux2010_x86_64.whl
Fundamental package for array computing in Python
Library home page: https://files.pythonhosted.org/packages/08/d6/a6aaa29fea945bc6c61d11f6e0697b325ff7446de5ffd62c2fa02f627048/numpy-1.19.5-cp37-cp37m-manylinux2010_x86_64.whl
Path to dependency file: /tmp/ws-scm/Aspect-Based-Sentiment-Analysis
Path to vulnerable library: /tmp/ws-scm/Aspect-Based-Sentiment-Analysis,/.ws-temp-THFHIH-requirements.txt
Dependency Hierarchy:
- ❌ numpy-1.19.5-cp37-cp37m-manylinux2010_x86_64.whl (Vulnerable Library)
Found in HEAD commit: d952432cb8d2cb53d7a0c189dc2d16fc535cdc75
Found in base branch: master
Vulnerability Details
A Buffer Overflow vulnerability exists in NumPy 1.9.x in the PyArray_NewFromDescr_int function of ctors.c when specifying arrays of large dimensions (over 32) from Python code, which could let a malicious user cause a Denial of Service. NOTE: The vendor does not agree this is a vulneraility; In (very limited) circumstances a user may be able provoke the buffer overflow, the user is most likely already privileged to at least provoke denial of service by exhausting memory. Triggering this further requires the use of uncommon API (complicated structured dtypes), which is very unlikely to be available to an unprivileged user
Mend Note: After conducting further research, Mend has determined that numpy versions before 1.21.0 are vulnerable to CVE-2021-33430
Publish Date: 2021-12-17
URL: CVE-2021-33430
CVSS 3 Score Details (5.3)
Base Score Metrics:
- Exploitability Metrics:
- Attack Vector: Network
- Attack Complexity: High
- Privileges Required: Low
- User Interaction: None
- Scope: Unchanged
- Impact Metrics:
- Confidentiality Impact: None
- Integrity Impact: None
- Availability Impact: High
Suggested Fix
Type: Upgrade version
Origin: https://nvd.nist.gov/vuln/detail/CVE-2021-33430
Release Date: 2021-12-17
Fix Resolution: 1.21.0
⛑️ Automatic Remediation will be attempted for this issue.
⛑️Automatic Remediation will be attempted for this issue.