Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FC234A726332B87843DB92EEF7382956B2D5488DF8CB4450F5C95A8E23C3C816197BB4 |
|
CONTENT
ssdeep
|
768:aYsA+EsZx8/G8g4QQDawOMLBxwDMLBLUcix+y9dQpUDF1E56ITmHDLBABW8KPqDE:aYsA+EsZ/8DQQDawOMLBxwDMLBLUXx+q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb3bcc649190b595 |
|
VISUAL
aHash
|
8181858f8d87ffff |
|
VISUAL
dHash
|
63615d59595d0400 |
|
VISUAL
wHash
|
8181000c8587ffff |
|
VISUAL
colorHash
|
17600018000 |
|
VISUAL
cropResistant
|
63615d59595d0400,43e57a98989c989e,c32247061c1f3fe3 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)