Datasets:

Modalities:
Tabular
Text
Formats:
parquet
Libraries:
Datasets
pandas
File size: 1,419 Bytes
e3b4b1c
 
 
 
 
 
 
 
 
 
e626a92
3119dab
 
0b6372a
 
3119dab
 
0b6372a
 
e3b4b1c
 
c4d0c85
 
e3b4b1c
c4d0c85
 
 
 
e3b4b1c
 
 
 
 
 
 
 
8d8b4aa
 
 
 
 
 
 
 
 
657f33b
4fa9ef9
8d8b4aa
 
 
657f33b
e3eb5d3
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
---
dataset_info:
  features:
  - name: id
    dtype: string
  - name: title
    dtype: string
  - name: description
    dtype: string
  - name: cpes
    sequence: string
  - name: cvss_v4_0
    dtype: float64
  - name: cvss_v3_1
    dtype: float64
  - name: cvss_v3_0
    dtype: float64
  - name: cvss_v2_0
    dtype: float64
  splits:
  - name: train
    num_bytes: 346562242.143047
    num_examples: 531014
  - name: test
    num_bytes: 38507205.85695303
    num_examples: 59002
  download_size: 149192526
  dataset_size: 385069448.0
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
---


### Sources of the data


- CVE Program (enriched with data from vulnrichment and Fraunhofer FKIE)
- GitHub Security Advisories
- PySec advisories
- CSAF Red Hat
- CSAF Cisco
- CSAF CISA


Extracted from the database of [Vulnerability-Lookup](https://vulnerability.circl.lu).  
Dumps of the data are available [here](https://vulnerability.circl.lu/dumps/).


### Query with datasets

```python
import json
from datasets import load_dataset

dataset = load_dataset("CIRCL/vulnerability-scores")

vulnerabilities = ["CVE-2012-2339", "RHSA-2023:5964", "GHSA-7chm-34j8-4f22", "PYSEC-2024-225"]

filtered_entries = dataset.filter(lambda elem: elem["id"] in vulnerabilities)

for entry in filtered_entries["train"]:
    print(json.dumps(entry, indent=4))
```