Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10423B4716088767B10D382E6B721579FB3E58248C6276B19A3FE838C0FDAC12FC67156 |
|
CONTENT
ssdeep
|
768:/0aSmnUng05AIqX0ITWJpNWJABM0GJVeWD4xWDTB40Menqmwv29+Ce/HSmG+BaOE:WSTjIqEiWbkC2LrDSWS5xmP9+CGb9cT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e949b396b48c2796 |
|
VISUAL
aHash
|
ffc1d1d1dfffffe3 |
|
VISUAL
dHash
|
8b131333333b270f |
|
VISUAL
wHash
|
7f818181cb87f3c3 |
|
VISUAL
colorHash
|
06001000601 |
|
VISUAL
cropResistant
|
8b131333333b270f,c8c8c8c8e6662eec,9f6e258c6e599cff |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 3 techniques to evade detection by security scanners and make reverse engineering more difficult.