Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T105A3FD234169762B4437C2C130695B3BD1A6D98FFEE709414EECCBFA2AFAC90741A51D |
|
CONTENT
ssdeep
|
1536:4CYtpR4nXBKpSpFl26vOMSQQPk3fjDqzz:4pUMxMSQQPk3fjDqzz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93076d0353137f2d |
|
VISUAL
aHash
|
001f0f2e6f0f01c7 |
|
VISUAL
dHash
|
dcbf3cdcdcd8b30f |
|
VISUAL
wHash
|
000f0f3f7f0f01e7 |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fdb7dcdcdcb9f30f,dcbf3cdcdcdcbb77,89bb1b9b6336b6ca,4e8f91c1a7a6ceca,68100c32320c21d4 |
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 115 techniques to evade detection by security scanners and make reverse engineering more difficult.