Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11EF122E1C548CD27072285DAFBF56B5B7592C349CB03098853FC42ABABDEC60CA1279D |
|
CONTENT
ssdeep
|
192:QBtD7mohOhHW1BaTdIMnz0/ysnhiP2IMQnqQR:QBtaQ++Mnz0achkMQnF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92926d6539387d6c |
|
VISUAL
aHash
|
003c3c3c3c3c3c00 |
|
VISUAL
dHash
|
e8cce8f8e8e8e812 |
|
VISUAL
wHash
|
3c7e3c3e7c3c3c00 |
|
VISUAL
colorHash
|
02001000180 |
|
VISUAL
cropResistant
|
26b2e0b2c88c1386,e8cce8f8e8e8e812 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)