EPSS(Exploit Prediction Scoring System) API client.
EPSS is the one of famous vulnerability score developed by FIRST (the Forum of Incident Response and Security Teams).
EPSS’s definition:
The Exploit Prediction Scoring System (EPSS) is an open, data-driven effort for estimating the likelihood (probability) that a software vulnerability will be exploited in the wild. Our goal is to assist network defenders to better prioritize vulnerability remediation efforts. While other industry standards have been useful for capturing innate characteristics of a vulnerability and provide measures of severity, they are limited in their ability to assess threat. EPSS fills that gap because it uses current threat information from CVE and real-world exploit data. The EPSS model produces a probability score between 0 and 1 (0 and 100%). The higher the score, the greater the probability that a vulnerability will be exploited.
This package is most easiest and efficient EPSS api client.
Usage
EPSS has some methods.
>>> from epss_api import EPSS
>>>
>>> client = EPSS()
>>> print(client.scores()[0])
{'cve': 'CVE-1999-0013', 'epss': 0.00042, 'percentile': 0.05071}
>>> print(client.score('CVE-2024-0001'))
{'cve': 'CVE-2024-0001', 'epss': 0.00091, 'percentile': 0.4063}
>>> print(client.csv()[1])
cve,epss,percentile
>>> print(client.epss('CVE-2024-0001'))
0.00091
>>> print(client.epss_ge(0.50003)[0])
{'cve': 'CVE-2022-0651', 'epss': 0.50003, 'percentile': 0.97652}
>>> print(client.epss_gt(0.50003)[0])
{'cve': 'CVE-2018-0851', 'epss': 0.50036, 'percentile': 0.97653}
>>> print(client.epss_le(0.49982)[-1])
{'cve': 'CVE-2014-8074', 'epss': 0.49982, 'percentile': 0.97651}
>>> print(client.epss_lt(0.49982)[-1])
{'cve': 'CVE-2018-8011', 'epss': 0.49981, 'percentile': 0.97651}
>>> print(client.percentile('CVE-2024-0001'))
0.4063
>>> print(client.percentile_ge(0.5)[0])
{'cve': 'CVE-2019-5426', 'epss': 0.00137, 'percentile': 0.5}
>>> print(client.percentile_gt(0.5)[0])
{'cve': 'CVE-2021-43464', 'epss': 0.00137, 'percentile': 0.50004}
>>> print(client.percentile_le(0.5)[-1])
{'cve': 'CVE-2022-27777', 'epss': 0.00137, 'percentile': 0.5}
>>> print(client.percentile_lt(0.5)[-1])
{'cve': 'CVE-2021-1625', 'epss': 0.00137, 'percentile': 0.49999}If you call either one method, EPSS client cache all CVE’s score in memory. After caching, you can get all data very fast.
1 maintainer
Metadata
1 maintainer
Release files for epss-api 1.3.9
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| epss_api-1.3.9.tar.gz | 9.1 kB | Without provenance | Details for epss_api-1.3.9.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| epss_api-1.3.9-py3-none-any.whl | Python 3 | none | any | Details for epss_api-1.3.9-py3-none-any.whl |
Total release size: 13.9 kB
Release files / epss_api-1.3.9.tar.gz
| Download URL | epss_api-1.3.9.tar.gz |
|---|---|
| Size | 9.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
439f2d146617890e6a4d1c3f4d5f254013a007a14fa9a5a30c3fc307ed21cf60
|
|
BLAKE2b-256 checksum How to use checksums |
35dddd20595c98ef9f7a67767ad09e0df1ece01d1538b6eb2343b43020532894
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
Release files / epss_api-1.3.9-py3-none-any.whl
| Download URL | epss_api-1.3.9-py3-none-any.whl |
|---|---|
| Size | 4.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
be6ba6ea467b82b9226567b3da9fabddb10dc570da7e8a8f2782c28f4283cb39
|
|
BLAKE2b-256 checksum How to use checksums |
4ffbd58333f94b50d013a3d8333612799fbef090d42870ed0c06715a31f668c6
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
Security for epss-api 1.3.9
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
