* changing config template paths for qualys
* Update frameworks_example.ini
Will leave for now qualys local folder as "qualys" instead of changing to one for each module, as like this it will still be compatible with the current logstash and we will be able to update master to drop the qualysapi fork once the new version is uploaded to PyPI repository.
PR from qualysapi repo has already been merged, so the only missing is the upload to PyPI.
* initialize variable fullpath to avoid break
* fix get latest scan entry from db and ignore 'potential' not verified vulns
* added host resolv + cache to speed already resolved, jira logging
* make sure that vulnerability criticality appears as a label on ticket + automatic actions
* jira bulk report of scans, fix on nessus logging, jira time resolution and list all ticket reported assets
* added jira ticket data download + change default time window from 6 to 12 months
* small fixes
* jira logstash files
* fix variable confusion (thx Travis :)
* ignore nessus requests warnings
* docker-compose fully working with vulnwhisperer integrated
* remove comments docker-compose
* documenting docker-compose
* Readme corrections
* fix after recheck everything works out of the box
* fix exits that break the no specified section execution mode
* fix docker qualysapi issue, updated README
* revert change on deps/qualysapi/qualysapi/util.py (no effect)
* temporarily changed Dockerfile link to the working one
* fix docker-compose logstash config
* permissions needed for logstash container to work
* changing default path qualys, there are no folders
* Add Qualys vulnerability scans
* Use non-zero exit codes for failures
* Convert to strings for Logstash
* Update logstash config for vulnerability scans
* Update README
* Grab all scans statuses
* Add Qualys vulnerability scans
* Use non-zero exit codes for failures
* Convert to strings for Logstash
* Update logstash config for vulnerability scans
* Update README
* Grab all scans statuses
* Fix error: "Cannot convert non-finite values (NA or inf) to integer"
When trying to download the results of Qualys Vulnerability Management scans, the following error pops up:
[FAIL] - Could not process scan/xxxxxxxxxx.xxxxx - Cannot convert non-finite values (NA or inf) to integer
This error is due to pandas operating with the scan results json file, as the last element from the json doesn't fir with the rest of the response's scheme: that element is "target_distribution_across_scanner_appliances", which contains the scanners used and the IP ranges that each scanner went through.
Taking out the last line solves the issue.
Also adding the qualys_vuln scheme to the frameworks_example.ini