Was python-csv Hacked?
No Publicly Reported Incidents. As of July 2026, python-csv has no publicly reported security breaches, hacks, or CVE entries in the databases Nerq monitors. This covers the National Vulnerability Database (NVD), GitHub Security Advisories, and OSV.dev. Nerq's automated security analysis rates python-csv's security posture as strong (security dimension score: 90/100). Trust Score: 57/100 (C). Last checked: 2026-06-15.
No Publicly Reported Incidents
Security Incident Summary
| CVE Count | 0 |
|---|---|
| Critical CVEs | 0 |
| Breach Status | No Publicly Reported Incidents |
| Trust Score | 57/100 (C) |
| Security Dimension | 90/100 |
| Publisher | Jason Trigg |
| Registry | N/A |
What We Check
- National Vulnerability Database (NVD) — CVE entries for publicly disclosed vulnerabilities
- GitHub Security Advisories — security alerts for open-source dependencies
- OSV.dev — Google's open-source vulnerability database
- Public breach reports — media reports and incident disclosures
Full Trust Analysis
For a complete safety assessment including privacy, maintenance, and community trust signals, see python-csv Trust Score on Nerq.
FAQ
Has python-csv been hacked?
As of July 2026, python-csv has no publicly reported security breaches, hacks, or CVE entries in the databases Nerq monitors. This covers the National Vulnerability Database (NVD), GitHub Security Advisories, and OSV.dev.
How many CVEs does python-csv have?
python-csv has 0 CVE entries (0 critical). CVEs are publicly disclosed vulnerabilities tracked by MITRE and the NVD.
Is python-csv safe to use after a breach?
With no reported breaches, python-csv appears safe based on available data.
Where can I check python-csv's security history?
Nerq monitors NVD (nvd.nist.gov), GitHub Security Advisories, and OSV.dev for python-csv. View the full trust analysis at nerq.ai/safe/python-csv.
Safe? Legit? Scam?
Spyware? Privacy Pros/Cons
Review What is it? Who owns?
Alternatives Use safely
Kids? Trending Leaderboard
Updated July 2026. Trust scores based on automated analysis.