Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19E635220A940EC2B41CFAAC8A572577972B94385DA030698F9F583F55FEFC6DDA37048 |
|
CONTENT
ssdeep
|
768:mAsIx/jJEyIcYpSoyXuAx5qetR//anKSUt79F:psIx1OpS+etV/yKb79F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c1e69ef08b9be091 |
|
VISUAL
aHash
|
ff60202060607e3f |
|
VISUAL
dHash
|
e4c4d4d0d484b8f2 |
|
VISUAL
wHash
|
ff7028206070fe3f |
|
VISUAL
colorHash
|
000060000c0 |
|
VISUAL
cropResistant
|
80a480e4e4ccc4e4,e4c4d0d0d484b8f2 |
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 118 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)