search

Srinivas11789 / PcapXray

:snowflake: PcapXray - A Network Forensics Tool - To visualize a Packet Capture offline as a Network Diagram including device identification, highlight important communication and file extraction
GNU General Public License v2.0
1.66k stars 275 forks source link

3.0 Part 1 #31

Closed Srinivas11789 closed 5 years ago

Srinivas11789 commented 5 years ago

Screen Shot 2019-04-29 at 8 55 57 PM

codecov-io commented 5 years ago

Codecov Report

Merging #31 into master will increase coverage by 2.92%. The diff coverage is 78.73%.

Impacted file tree graph

@@            Coverage Diff             @@
##           master      #31      +/-   ##
==========================================
+ Coverage    76.3%   79.22%   +2.92%     
==========================================
  Files           8        9       +1     
  Lines         325      337      +12     
==========================================
+ Hits          248      267      +19     
+ Misses         77       70       -7
Impacted Files Coverage Δ
Test/test_pcap_reader_module.py 90.9% <100%> (ø) :arrow_up:
Source/Module/memory.py 100% <100%> (ø)
Source/Module/device_details_fetch.py 58.13% <58.13%> (ø)
Source/Module/tor_traffic_handle.py 66.66% <66.66%> (ø)
Source/Module/communication_details_fetch.py 66.66% <66.66%> (ø)
Source/Module/pcap_reader.py 80.73% <80.73%> (ø)
Source/Module/malicious_traffic_identifier.py 83.33% <83.33%> (ø)
Source/Module/report_generator.py 85.36% <85.36%> (ø)
Test/test_sanity.py 94.54% <97.5%> (-0.81%) :arrow_down:
... and 6 more

Continue to review full report at Codecov.

Legend - Click here to learn more Δ = absolute <relative> (impact), ø = not affected, ? = missing data Powered by Codecov. Last update de860a5...454b1fc. Read the comment docs.