Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D81265A2D468DD33075286D1B7F23B1FB6B2C649CB020E9422F4937E67DECA1C61199D |
|
CONTENT
ssdeep
|
192:QfZTZY+jiDiiEZinzYhhjul8ijz+JXCgElU8F:QfnY+jiDiikizGjy1jhNa8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fc7ca383c3dc84a2 |
|
VISUAL
aHash
|
c28090d0f8ffff7f |
|
VISUAL
dHash
|
260624a0c00000d0 |
|
VISUAL
wHash
|
80808050f8ffff3f |
|
VISUAL
colorHash
|
07c00000040 |
|
VISUAL
cropResistant
|
260624a0c00000d0,24c3917c3e1c9f0f,1d0d26230101030f |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.