Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T143437230A944ED3B01CBA6D52632676AB2F58354C6530A84FAF4C3A94BEFD1DCB37164 |
|
CONTENT
ssdeep
|
384:yHgmIxrsJO5xVZjqTSg6h5laWRpCWN+gsqlHozhoRuyQ4eKjikiGpkhwVVroUa8V:1mSsIx/jo6h5laG+FXf4HLqUf7Ag2T8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
de28ad96fa82962c |
|
VISUAL
aHash
|
ff000000003cffff |
|
VISUAL
dHash
|
29b2f16d21c4e432 |
|
VISUAL
wHash
|
ff001004007effff |
|
VISUAL
colorHash
|
0fe00000040 |
|
VISUAL
cropResistant
|
282986616b4b00b3,9295e9cbd555b0b1,b63169ce961d5542,c4c4c46326223a32,bab3f16d69236cc0 |
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 53 techniques to evade detection by security scanners and make reverse engineering more difficult.