Spectra Assure
Community
warningRisk: Vulnerabilities
Scanned: 12 days ago

dspy-ai

Artifact:
latest
Top 10k
DSPy
License: Permissive (MIT)
Published: about 2 months ago
Visit GitHub
See on PyPI

SAFE Assessment

Compliance

Licenses
No license compliance issues
Secrets
No sensitive information found

Security

Vulnerabilities
1 medium severity vulnerabilities
Hardening
No application hardening issues

Threats

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

INCIDENTS FOR THIS VERSION:

Popularity

6.13M
Total Downloads
2
Contributors
1
Declared Dependencies
106
Dependents

Top issues

See all issues

Problem

Software composition analysis has identified a component with one or more known vulnerabilities. Based on the CVSS scoring, these vulnerabilities have been marked as medium severity.

Prevalence in PyPI community

36 packages
found in
Top 100
209 packages
found in
Top 1k
1750 packages
found in
Top 10k
81.53k packages
in community

Next steps

Perform impact analysis for the reported CVEs.
Update the component to the latest version.
If the update can't resolve the issue, create a plan to isolate or replace the affected component.

Top behaviors

No behaviors found.

Top vulnerabilities

See all vulnerabilities
Vulnerability Exploitation Lifecycle
(1 Active Vulnerabilities)
1 (0 Fixable)
CVE-2025-12695m
None
None
None
Exploits Unknown
Exploits Exist
Exploited by Malware
Patching Mandated

FAQ for dspy-ai

What is dspy-ai?

DSPy.

Is dspy-ai malicious or is it safe to use?

The Python package dspy-ai 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 dspy-ai popular?

The Python package dspy-ai ranks among the top 10000 projects in this community. It has 6M 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 dspy-ai once it is in my app?

Since we can't know when or where malicious attacks will happen, we recommend tracking how dspy-ai behaviors change over multiple software releases. By adopting differential analysis in your release process, you can detect unexpected changes to a dspy-ai 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.