Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T149F122E0D044DC3A531385E5B7F52B5F75A6C345CB020E9863FC52FA5BDACA0C923A99 |
|
CONTENT
ssdeep
|
192:QZRK7mohOlzH0X1nYIrCOmp+o5zAgnDQR:QZR7QY+COzfcs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3c390b8e1e7b8b8 |
|
VISUAL
aHash
|
ff7c203000000000 |
|
VISUAL
dHash
|
d8d4c6c8d0300800 |
|
VISUAL
wHash
|
fffe707078000000 |
|
VISUAL
colorHash
|
00000000007 |
|
VISUAL
cropResistant
|
0000000000000000,f0d4aa8e698ecce8,4667a94b5a9a4a4e,8080808080808080,8080808080808080,ccd44bc890000000 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.