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Vulnerability Database · PyPI · Package report

charset-normalizer: vulnerability history, versions and safety

charset-normalizer is a package in the PyPI ecosystem. Vulert holds no vulnerabilities for it yet.

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0 vulnerabilities recorded

Nothing recorded for this package in the PyPI ecosystem.

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0 with no fix published

Every vulnerability has a patched version to move to.

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0 in the last 12 months

Nothing new recorded in the last year.

See the disclosure history →
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0 malicious-package vulnerabilities

No published version shipped hostile code.

See all charset-normalizer vulnerabilities

Vulert verdict on charset-normalizer 3.5.2 i

Updated on 23 Oct 2026

Good news: 3.5.2, the version you would install today, has no known vulnerabilities.

Package health score 90/100
  • Security No known security issues
  • Maintenance Sustainable
  • Popularity Key ecosystem project
  • Community Quiet

What to do: Stay on 3.5.2 or newer. This can change: a vulnerability disclosed tomorrow can affect 3.5.2 too — Vulert watches the package and alerts you if that happens. Monitor it with Vulert →

  • Current release 3.5.2 — unaffected i
  • Vulnerabilities on record 0 i
  • Highest CVSS n/a i
  • With no published fix 0 i
  • Depended on by 194,530 packages i
  • Stars 804 i
  • Last release this month i
  • Licence MIT i

Version list, release dates, licence and dependants published by PyPI, refreshed 23 Oct 2026. Licence information is not legal advice.

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01 Versions

Which versions are affected

Every version Vulert tracks for charset-normalizer, newest first, with the vulnerabilities recorded against each one. A version showing none has no vulnerability in the Vulert database — open it for the full picture on that release.

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Version Released Vulert vulnerabilities Licence Fix published Details
3.5.2 30 Sep 2026 none MIT — Details →
3.5.1 15 Aug 2026 none MIT — Details →
3.5.0 12 Aug 2026 none MIT — Details →
3.4.9 07 Jul 2026 none MIT — Details →
3.4.8 06 Jul 2026 none MIT — Details →
3.4.7 02 Apr 2026 none MIT — Details →
3.4.6 15 Mar 2026 none MIT — Details →
3.4.5 06 Mar 2026 none MIT — Details →
3.4.4 14 Oct 2025 none MIT — Details →
3.4.3 09 Aug 2025 none MIT — Details →
3.4.2 02 May 2025 none MIT — Details →
3.4.1 24 Dec 2024 none MIT — Details →
3.4.0 09 Oct 2024 none MIT — Details →
3.3.2 01 Nov 2023 none MIT — Details →
3.3.1 22 Oct 2023 none MIT — Details →
3.3.0 30 Sep 2023 none MIT — Details →
3.2.0 07 Jul 2023 none MIT — Details →
3.1.0 06 Mar 2023 none MIT — Details →
3.0.1 18 Nov 2022 none MIT — Details →
3.0.0 20 Oct 2022 none MIT — Details →
3.0.0rc1 20 Oct 2022 none MIT — Details →
3.0.0b2 21 Aug 2022 none MIT — Details →
2.1.1 19 Aug 2022 none MIT — Details →
3.0.0b1 16 Aug 2022 none MIT — Details →
2.1.0 19 Jun 2022 none MIT — Details →
2.0.12 12 Feb 2022 none MIT — Details →
2.0.11 30 Jan 2022 none MIT — Details →
2.0.10 04 Jan 2022 none MIT — Details →
2.0.9 03 Dec 2021 none MIT — Details →
2.0.8 24 Nov 2021 none MIT — Details →
2.0.7 11 Oct 2021 none MIT — Details →
2.0.6 17 Sep 2021 none MIT — Details →
2.0.5 14 Sep 2021 none MIT — Details →
2.0.4 30 Jul 2021 none MIT — Details →
2.0.3 16 Jul 2021 none MIT — Details →
2.0.2 14 Jul 2021 none MIT — Details →
2.0.1 13 Jul 2021 none MIT — Details →
2.0.0 02 Jul 2021 none MIT — Details →
1.4.1 28 May 2021 none MIT — Details →
1.4.0 21 May 2021 none MIT — Details →
1.3.9 13 May 2021 none MIT — Details →
1.3.8 12 May 2021 none MIT — Details →
1.3.7 12 May 2021 none MIT — Details →
1.3.6 09 Feb 2021 none MIT — Details →
1.3.5 08 Feb 2021 none MIT — Details →
1.3.4 16 Dec 2019 none MIT — Details →
1.3.3 16 Dec 2019 none MIT — Details →
1.3.2 13 Dec 2019 none MIT — Details →
1.3.1 11 Oct 2019 none MIT — Details →
1.3.0 30 Sep 2019 none MIT — Details →
1.2.0 28 Sep 2019 none MIT — Details →
1.1.1 23 Sep 2019 none MIT — Details →
1.1.0 21 Sep 2019 none MIT — Details →
1.0.0 17 Sep 2019 none MIT — Details →
0.3.0 12 Sep 2019 none MIT — Details →
0.2.3 06 Sep 2019 none MIT — Details →
0.2.2 04 Sep 2019 none MIT — Details →
0.2.1 03 Sep 2019 none MIT — Details →
0.2.0 31 Aug 2019 none MIT — Details →
0.1.8 28 Aug 2019 none MIT — Details →
0.1.7 27 Aug 2019 none MIT — Details →
0.1.5b0 08 Aug 2019 none MIT — Details →
0.1.4b0 08 Aug 2019 none MIT — Details →
0.1.2b0 07 Aug 2019 none MIT — Details →
0.1.1a0 03 Aug 2019 none MIT — Details →
0.1.0a0 02 Aug 2019 none MIT — Details →

All 66 versions Vulert tracks for this package. Severity counts are the vulnerabilities recorded against that exact release.

02 Disclosure history

How often vulnerabilities are recorded

No dated vulnerabilities are recorded for this package yet.

03 Vulnerabilities

Recorded vulnerabilities for charset-normalizer

No vulnerability write-ups match this view

Search all 0 in the database →

No vulnerabilities match this view.

Vulnerability wrong, a fix missing, or a package we should cover? Report it and we will fix the record. Report Vulnerability Provide Feedback

Updated: 23/Oct/2026 · Vulnerabilities in our DB: 524315

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Questions

About charset-normalizer

Is charset-normalizer safe to use?

Vulert has no vulnerabilities on record for charset-normalizer in PyPI at this point. That is a good signal rather than a guarantee: new vulnerabilities are published for packages all the time, so the versions you actually run are still worth monitoring.

What is charset-normalizer's Vulert package health score?

Vulert scores charset-normalizer 90/100, which reads as healthy. The score weighs the vulnerability record (40), maintenance and release cadence (25), adoption from dependents and stars (20) and community signals such as the OpenSSF scorecard and forks (15).

Is the latest version of charset-normalizer affected?

No. 3.5.2, the version you would install today, has no vulnerabilities on record against it. Earlier releases do — the version table above lists each release with what affects it.

Which version of charset-normalizer should I use?

3.5.2 is the version Vulert recommends for the affected releases. The version table above lists every release with the vulnerabilities recorded against it, so you can confirm the range you actually run.

How many vulnerabilities does charset-normalizer have?

0 vulnerabilities are recorded for charset-normalizer in the PyPI ecosystem: 0 critical, 0 high, 0 medium and 0 low. The ledger on this page lists the same counts next to the date of the most recent disclosure.

How often are new charset-normalizer vulnerabilities disclosed?

0 vulnerabilities were recorded for charset-normalizer in the last 12 months. Recency matters more than a lifetime total: it shows how actively new issues are being disclosed for the package you are considering.

Which versions of charset-normalizer are affected?

Each vulnerability on this page lists the affected version range and the fixed version to move to. Open the vulnerability for the version you actually run — fixes are specific to a release line, not to the package as a whole.

How do I monitor charset-normalizer for upcoming vulnerabilities?

Upload the manifest or SBOM for your application at vulert.com/scanner and Vulert keeps checking the charset-normalizer version you actually run against new disclosures, then alerts you when one affects it. There is no installation and no source-code access required.