Spectra Assure
Community
failRisk: Secrets
Scanned: 4 days ago

SQLAlchemy

Artifact:
latest
Database Abstraction Library
License: Permissive (MIT)
Published: 4 days ago
Visit GitHub
See on PyPI

SAFE Assessment

Compliance

Licenses
No license compliance issues
Secrets
1 web service credentials 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

6.53B
Total Downloads
1
Contributor
32
Declared Dependencies
11.89k
Dependents

Top issues

See all issues

Problem

Software as a Service (SaaS) platforms expose programmable interfaces to their authenticated users. These web services enable action automation and secure exchange of information. For authorization, web service users provide a unique token that confirms their access rights. These tokens are considered secrets. They should never be included in a software release package, even if they are obfuscated by encryption on the client-side.

Prevalence in PyPI community

4 packages
found in
Top 100
14 packages
found in
Top 1k
81 packages
found in
Top 10k
2.82k packages
in community

Next steps

You should securely store web service access tokens, and fully automate their management and periodic rotation.
If tokens were published unintentionally and the software has been made public, you should revoke exposed tokens and file a security incident.
Examples of service tokens that may have been detected include AWS, Facebook, JWT, SWT, Slack and others.

Problem

Various network communication protocols allow including plaintext authentication credentials. Information such as user names and passwords could be passed through a non-encrypted channel, and therefore intercepted by malicious actors. Credentials are considered secrets, and should be kept encrypted until they are used. This policy control matches the following URI pattern protocol://username:password@domain within any software package component.

Prevalence in PyPI community

21 packages
found in
Top 100
86 packages
found in
Top 1k
378 packages
found in
Top 10k
7.36k packages
in community

Next steps

Review the reported matches. If the warning refers to a placeholder credential value, it can be safely ignored.

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. Open source communities depend on the work of thousands of software developers that volunteer their time to maintain software components. Software developers build up the reputation of their open source projects by developing in public. Modern source code repositories have many social features that allow software developers to handle bug reports, have discussions with their users, and convey reaching significant project milestones. It is uncommon to find open source projects that omit linking their component to a publicly accessible source code repository.

Prevalence in PyPI community

70 packages
found in
Top 100
472 packages
found in
Top 1k
4207 packages
found in
Top 10k
413.79k packages
in community

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

See all behaviors

Prevalence in PyPI community

Behavior often found in this community (Common)
36 packages
found in
Top 100
281 packages
found in
Top 1k
1802 packages
found in
Top 10k
66.4k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
39 packages
found in
Top 100
252 packages
found in
Top 1k
1477 packages
found in
Top 10k
53.15k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
76 packages
found in
Top 100
459 packages
found in
Top 1k
3531 packages
found in
Top 10k
105.97k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
69 packages
found in
Top 100
506 packages
found in
Top 1k
3612 packages
found in
Top 10k
163.85k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
26 packages
found in
Top 100
118 packages
found in
Top 1k
563 packages
found in
Top 10k
12.66k packages
in community

Top vulnerabilities

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Vulnerability Exploitation Lifecycle
(2 Active Vulnerabilities)
None
None
None
None
Exploits Unknown
Exploits Exist
Exploited by Malware
Patching Mandated

FAQ for SQLAlchemy

What is SQLAlchemy?

Database Abstraction Library. For more information about this package, visit its homepage.

Is SQLAlchemy malicious or is it safe to use?

The Python package SQLAlchemy was scanned for malware, software tampering, risky behaviors, exposed secrets and known vulnerabilities. The package contains risks, and the analysis results should be reviewed before it is downloaded and used. Visit the Issues and Behaviors sections of the analysis for more details.

Is SQLAlchemy popular?

The Python package SQLAlchemy ranks among the top 100 projects in this community. It has 7B recorded downloads. A package's popularity is not a good indicator of its safety, visit the SAFE Assessment section to see the full analysis of package deployment risk categories.

How do I secure SQLAlchemy once it is in my app?

Since we can't know when or where malicious attacks will happen, we recommend tracking how SQLAlchemy behaviors change over multiple software releases. By adopting differential analysis in your release process, you can detect unexpected changes to a SQLAlchemy version, which can prevent advanced software supply chain attacks. Read how our technology can help prevent future attacks similar to SolarWinds and 3CX.

Did you know...

... that you can use ReversingLabs’ Spectra Assure platform to perform regular risk assessments of packages you develop in-house?

We recommend continuous software safeness monitoring through CI/CD integrations and pre-release/deployment checks. In addition to basic package information found on this page our platform offers rich reports for developers and DevSecOps that help them remediate all reported issues.