Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B7C2C832A0046A3B01E392C97361A72FA2E3934ED796051592FD83AC4FF7E54DE77206 |
|
CONTENT
ssdeep
|
768:jSby5N4s5fG2nN/uwjt7sOy2+y9BH4c1Ie:d51pp57sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d361fc12cd1c91e9 |
|
VISUAL
aHash
|
002000000004ffff |
|
VISUAL
dHash
|
9ccccce0c8cc3c00 |
|
VISUAL
wHash
|
40fe6800006effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
ca51458d0d715596,1080800458988000,9cccccc8c8c9cc3c |
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.
Pages with identical visual appearance (based on perceptual hash)