Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T182F12EF0D040EE3B475386D9A7BA6B0B7791C349CF071A8493F893AB5BCAC60CE11589 |
|
CONTENT
ssdeep
|
192:QOnbzD715lt8iIGtGy+gZa5gns7Ycd7rIrL:QInf1ZtGlHRYcdi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b319cc6666cc4c |
|
VISUAL
aHash
|
ffffffffffff0000 |
|
VISUAL
dHash
|
0808080c08080000 |
|
VISUAL
wHash
|
e7e7e7e7e0f80000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
080c08080c0c0800,0000000000000000 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)