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Hotel-Booking/Backend/venv/lib/python3.12/site-packages/bandit/formatters/json.py
Iliyan Angelov 62c1fe5951 updates
2025-12-01 06:50:10 +02:00

156 lines
4.2 KiB
Python

#
# SPDX-License-Identifier: Apache-2.0
r"""
==============
JSON formatter
==============
This formatter outputs the issues in JSON.
:Example:
.. code-block:: javascript
{
"errors": [],
"generated_at": "2015-12-16T22:27:34Z",
"metrics": {
"_totals": {
"CONFIDENCE.HIGH": 1,
"CONFIDENCE.LOW": 0,
"CONFIDENCE.MEDIUM": 0,
"CONFIDENCE.UNDEFINED": 0,
"SEVERITY.HIGH": 0,
"SEVERITY.LOW": 0,
"SEVERITY.MEDIUM": 1,
"SEVERITY.UNDEFINED": 0,
"loc": 5,
"nosec": 0
},
"examples/yaml_load.py": {
"CONFIDENCE.HIGH": 1,
"CONFIDENCE.LOW": 0,
"CONFIDENCE.MEDIUM": 0,
"CONFIDENCE.UNDEFINED": 0,
"SEVERITY.HIGH": 0,
"SEVERITY.LOW": 0,
"SEVERITY.MEDIUM": 1,
"SEVERITY.UNDEFINED": 0,
"loc": 5,
"nosec": 0
}
},
"results": [
{
"code": "4 ystr = yaml.dump({'a' : 1, 'b' : 2, 'c' : 3})\n5
y = yaml.load(ystr)\n6 yaml.dump(y)\n",
"filename": "examples/yaml_load.py",
"issue_confidence": "HIGH",
"issue_severity": "MEDIUM",
"issue_cwe": {
"id": 20,
"link": "https://cwe.mitre.org/data/definitions/20.html"
},
"issue_text": "Use of unsafe yaml load. Allows instantiation of
arbitrary objects. Consider yaml.safe_load().\n",
"line_number": 5,
"line_range": [
5
],
"more_info": "https://bandit.readthedocs.io/en/latest/",
"test_name": "blacklist_calls",
"test_id": "B301"
}
]
}
.. versionadded:: 0.10.0
.. versionchanged:: 1.5.0
New field `more_info` added to output
.. versionchanged:: 1.7.3
New field `CWE` added to output
"""
# Necessary so we can import the standard library json module while continuing
# to name this file json.py. (Python 2 only)
import datetime
import json
import logging
import operator
import sys
from bandit.core import docs_utils
from bandit.core import test_properties
LOG = logging.getLogger(__name__)
@test_properties.accepts_baseline
def report(manager, fileobj, sev_level, conf_level, lines=-1):
"""''Prints issues in JSON format
:param manager: the bandit manager object
:param fileobj: The output file object, which may be sys.stdout
:param sev_level: Filtering severity level
:param conf_level: Filtering confidence level
:param lines: Number of lines to report, -1 for all
"""
machine_output = {"results": [], "errors": []}
for fname, reason in manager.get_skipped():
machine_output["errors"].append({"filename": fname, "reason": reason})
results = manager.get_issue_list(
sev_level=sev_level, conf_level=conf_level
)
baseline = not isinstance(results, list)
if baseline:
collector = []
for r in results:
d = r.as_dict(max_lines=lines)
d["more_info"] = docs_utils.get_url(d["test_id"])
if len(results[r]) > 1:
d["candidates"] = [
c.as_dict(max_lines=lines) for c in results[r]
]
collector.append(d)
else:
collector = [r.as_dict(max_lines=lines) for r in results]
for elem in collector:
elem["more_info"] = docs_utils.get_url(elem["test_id"])
itemgetter = operator.itemgetter
if manager.agg_type == "vuln":
machine_output["results"] = sorted(
collector, key=itemgetter("test_name")
)
else:
machine_output["results"] = sorted(
collector, key=itemgetter("filename")
)
machine_output["metrics"] = manager.metrics.data
# timezone agnostic format
TS_FORMAT = "%Y-%m-%dT%H:%M:%SZ"
time_string = datetime.datetime.now(datetime.timezone.utc).strftime(
TS_FORMAT
)
machine_output["generated_at"] = time_string
result = json.dumps(
machine_output, sort_keys=True, indent=2, separators=(",", ": ")
)
with fileobj:
fileobj.write(result)
if fileobj.name != sys.stdout.name:
LOG.info("JSON output written to file: %s", fileobj.name)