Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T181D2A531B050263B42D783C6B721F71EE2E2828ADA96090567FC87BD8FD7E50DD1356A |
|
CONTENT
ssdeep
|
768:heFy5NqFcliLPh0MoUu9KkcNbE7sOy2+y9BH4c1Ie:6cliLPhPAKkP7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343d53ab1298dce |
|
VISUAL
aHash
|
002030000000ffff |
|
VISUAL
dHash
|
dcc5c3cbcd0cd300 |
|
VISUAL
wHash
|
00fdf9310000ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
d200c00258d88000,cccdc5c3c9cd0cd0 |
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.