Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A4D2A732B000263B129393C5B761F75FE2E39249DA89090573FC876D4BDBE90DE1756A |
|
CONTENT
ssdeep
|
768:HeFy5Ne+aYd4PhfMXItev3Bp6YpD/Tw7sOy2+y9BH4c1Ie:HaYiPhWIYBpT47sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363d5389c29a5c7 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
9ccdc3c3cd0cd100 |
|
VISUAL
wHash
|
00fdf1710000ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
d200c00258d88000,dcc9c9c3c3cd2cd0 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.