Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16EA2C5F492001378A103EBF9B1597A4CB123BA7F9FC52EA8E69C4DD521DADFE88C5104 |
|
CONTENT
ssdeep
|
384:89FrKhJvC1GNcrPRxGPO96GOus5WJkXw/tWLTyUjFNn9je0+UZ:GKrLyrKJtAmw/eTtFppe0T |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a7595c7233c9d823 |
|
VISUAL
aHash
|
00003b3f27377f77 |
|
VISUAL
dHash
|
88e4e2ebcdeee6e6 |
|
VISUAL
wHash
|
00003b3f27377777 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
88e4e2ebcdeee6e6 |
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 125 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)