Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T177A35CB43A5CF56669B343A7109F1103B338562B940E8D207364EC9D72ACC9BA077FDA |
|
CONTENT
ssdeep
|
1536:870vuwW0BXPvbpWpFo2h20VTgHd8tVPTMnEXCd0uq+wSRKF:87IW8XspMug98nKd0+w1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c392c969b338e6c6 |
|
VISUAL
aHash
|
7e7c7e2c2c00083c |
|
VISUAL
dHash
|
d8e0ccccc862334d |
|
VISUAL
wHash
|
ff7c7e2c3c00183c |
|
VISUAL
colorHash
|
180000001c0 |
|
VISUAL
cropResistant
|
5919b35337b61858,6559567654565b15,f4e4be3616c52515,6767b6b7b6aa4b57,7fb5b5b48026a6ba,804822f2f25909a4,83f1e453129a2cea,d8e0ccccc862334d |
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 66 techniques to evade detection by security scanners and make reverse engineering more difficult.