Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E353FA9A38557016076380D3A4BF2A8AB339182FB91C55E1B4B4CBE571F88F5606BF4F |
|
CONTENT
ssdeep
|
768:RyWuPL5y/WtQfz/suDNwbT9H+S6ZXMjwql11nUL/u0WMR5qBC7X8U5bsVu/9YDFy:ob2GaSyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
91eeee99e152106d |
|
VISUAL
aHash
|
ffff004e0a0e0000 |
|
VISUAL
dHash
|
031a1c989a9c1ccb |
|
VISUAL
wHash
|
ffff0e6e0e0f0020 |
|
VISUAL
colorHash
|
324010000c0 |
|
VISUAL
cropResistant
|
030041d696c20203,fca4a4b0b6eacec3,0000000000020408,60c4848480828280,030303c3d3030303,1afc989a98dc00cb |
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 700 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)