Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18712831BD6151A3C0A0401F5BA0D36DF6309109DE3665AC2FCD9C23913D39BB16BBEDA |
|
CONTENT
ssdeep
|
192:n/I74JTPUtwT+gtMOdPNBVaxq/u1/mmnnQZpdX0uP6iyON1r:n/B7UtwT+gtMkfQq/u1xnQZpJTr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b1131dece0c1f3a |
|
VISUAL
aHash
|
0f0f0f3fbfbfbfbf |
|
VISUAL
dHash
|
5a9ada7878787878 |
|
VISUAL
wHash
|
0f0f0f0f0f0f0f8e |
|
VISUAL
colorHash
|
06002000180 |
|
VISUAL
cropResistant
|
5a9ada7878787878,589290c8cd909259,9e8abac9c8dc9bbd |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)