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Scanned: 12 days ago

teslajsonpy

Artifact:
latest
Top 10k
A library to work with Tesla API.
License: Permissive (Apache-2.0)
Published: 3 months ago




SAFE Assessment

Compliance

Licenses
No license compliance issues
Secrets
No sensitive information found

Security

Vulnerabilities
No known vulnerabilities detected
Hardening
No application hardening issues

Threats

Tampering
No evidence of software tampering
Malware
No evidence of malware inclusion

Popularity

3.52M
Total Downloads
Contributor
Declared Dependencies
1
Dependents

Top issues

Problem

Export restrictions (or a restriction on exportation) are limitations on the quantity of goods exported to a specific country or countries by a Government. The European Union has imposed export restrictions on a number of countries and regions. These restrictions may or may not apply to digital goods such as software and other related intellectual property. It is advised that the reported findings are put in the usage context so that they can be audited and reviewed by the legal department before the software package is deployed. Current list of countries with export restrictions includes: Belarus (.by), Iran (.ir), Iraq (.iq), Libya (.ly), Myanmar (.mm), North Korea (.nk), Syria (.sy), Venezuela (.ve) and Zimbabwe (.zw).

Prevalence in PyPI community

0 packages
found in
Top 100
1 packages
found in
Top 1k
21 packages
found in
Top 10k
376 packages
in community

Next steps

Investigate reported detections.
You should delay the software release until the legal review is completed.

Problem

Software components contain executable code that performs actions implemented during its development. These actions are called behaviors. In the analysis report, behaviors are presented as human-readable descriptions that best match the underlying code intent. While most behaviors are benign, some are commonly abused by malicious software with the intent to cause harm. When a software package shares behavior traits with malicious software, it may become flagged by security solutions. Any detection from security solutions can cause friction for the end-users during software deployment. While the behavior is likely intended by the developer, there is a small chance this detection is true positive, and an early indication of a software supply chain attack.

Prevalence in PyPI community

0 packages
found in
Top 100
2 packages
found in
Top 1k
7 packages
found in
Top 10k
1009 packages
in community

Next steps

Investigate reported detections.
If the software intent does not relate to the reported behavior, investigate your build and release environment for software supply chain compromise.
You should delay the software release until the investigation is completed, or until the issue is risk accepted.
Consider rewriting the flagged code without using the marked behaviors.

Problem

Software developers use programming and design knowledge to build reusable software components. Software components are the basic building blocks for modern applications. Software consumed by an enterprise consists of hundreds, and sometimes even thousands of open source components. Software developers publish components they have authored to public repositories. While a new software project is a welcome addition to the open source community. it is not always prudent to indiscriminately use the latest components when building a commercial application. Irrespective of the software quality, the danger of using components that are rarely used to build applications lies in the fact that the software component may contain novel, currently undetected malicious code. Therefore, it is prudent to review software component behaviors and even try out software component in a sandbox, an environment meant for testing untrusted code.

Prevalence in PyPI community

No prevalence information at this time

Next steps

Check the software component behaviors for anomalies.
Consider exploratory software component testing within a sandbox environment.
Consider replacing the software component with a more widely used alternative.
Avoid using this software package until it is vetted as safe.

Top behaviors

Prevalence in PyPI community

Behavior often found in this community (Common)
39 packages
found in
Top 100
280 packages
found in
Top 1k
1754 packages
found in
Top 10k
67026 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
75 packages
found in
Top 100
451 packages
found in
Top 1k
3488 packages
found in
Top 10k
109392 packages
in community

Prevalence in PyPI community

Behavior commonly used by malicious software (Important)
Behavior uncommon for this community (Uncommon)
0 packages
found in
Top 100
1 packages
found in
Top 1k
21 packages
found in
Top 10k
376 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
67 packages
found in
Top 100
520 packages
found in
Top 1k
3993 packages
found in
Top 10k
158349 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
49 packages
found in
Top 100
364 packages
found in
Top 1k
2374 packages
found in
Top 10k
87567 packages
in community

Top vulnerabilities

No vulnerabilities found.