Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C1234A726332B8B843CBA1DDE7382A56B2D2989DF9C74554F1C95ACD23C3C802593BB4 |
|
CONTENT
ssdeep
|
768:a4+EsZx8/G86PMk4YDawWMIBuowLMIBukwZUcix+y9dQpUDF1E56ITmHDLBABW8n:a4+EsZ/86PMfYDawWMIBDwLMIBlwZUX6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed6d9292352d26e4 |
|
VISUAL
aHash
|
fff1918191fdffff |
|
VISUAL
dHash
|
49137733772d0200 |
|
VISUAL
wHash
|
a78181818185ffff |
|
VISUAL
colorHash
|
07030000200 |
|
VISUAL
cropResistant
|
49137733772d0200,6e6c5c5f5d570736 |
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)