Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A6D2D7319109693F06E762D1FB71A35A73858389DA47072A42FCC78C5BEBC91ED234A9 |
|
CONTENT
ssdeep
|
384:B6IIsdIIIII9AlBqao8DY1kv+icrojAwP8K+5o0ViUpW:EIIUIIIIIIiYpPF+eB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e3713c1c1d6963 |
|
VISUAL
aHash
|
00e5ffff3f181838 |
|
VISUAL
dHash
|
dfcdcbf5ed73f0f0 |
|
VISUAL
wHash
|
00f5fb7f3f181830 |
|
VISUAL
colorHash
|
19038000000 |
|
VISUAL
cropResistant
|
f3e3d3ee9c988c8c,0000606969600000,dfcdcbf5ed73f0f0 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)