Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A733B631A152AA3B01B3A0CCA6751F1BB3D49344ED531B429BF9C3AC6FDBC61ED12658 |
|
CONTENT
ssdeep
|
1536:HGeW3Z5WqJnPReeezeeeseeeBHUE/P61+AkJZJ9pecGL/ipYpYxvWkttogU:zePGcpxvWkttQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8bb6dbb1ce630c12 |
|
VISUAL
aHash
|
ffff35312b430038 |
|
VISUAL
dHash
|
9b6b6de3d79bcb61 |
|
VISUAL
wHash
|
ff3f3d3323430038 |
|
VISUAL
colorHash
|
09002600040 |
|
VISUAL
cropResistant
|
0003131b5b030cb8,f0cc96373796ccf1,69e3c7d39bcac961,c9e5e666f170581c,008020d0d0000000,6c6debc7d38ac961 |
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 119 techniques to evade detection by security scanners and make reverse engineering more difficult.