Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D4E28671A0046B3B01E792D5B360AB1FE3E3C28EEB86061553FD835D0BE6E50DE6751A |
|
CONTENT
ssdeep
|
768:FeFx3k1hWNv+iR4fzQ7sOy2+y9BH4c1Ie:yjkw4fE7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d247b612e93898ed |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
ccccc0d0cccccc00 |
|
VISUAL
wHash
|
04fc7000043effff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
c3e3cdcdcdc3c3c3,0880900458988000,dcccc8c0c8cccccc |
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.