Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16CB37A33411875274437C6D530A95B3BE2E69A4FFAE70A010EECD7EA1BF9C90B45B11A |
|
CONTENT
ssdeep
|
1536:nCLz4NP/y9svbliCdD9p3UFtiuCa28y2O9:smA4x3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d647f412a938b969 |
|
VISUAL
aHash
|
00240000000404ff |
|
VISUAL
dHash
|
ccccc8d0cccc0cb2 |
|
VISUAL
wHash
|
04fe78381c0e0eff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
c2c3e3cf8ecee3c3,08009081303080a0,dcccc8d0c8cccc0c |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.