Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T147A3FD234259762A4437C7C030795B7BE2A6998FFAE70A400EDCC7F76BF9CA0745A119 |
|
CONTENT
ssdeep
|
1536:7JtpR4nXBKpSpFl26vHSZK83oKIcHTMIAC/8:FUMHYJcHTOC/8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d27f6901931c6c3d |
|
VISUAL
aHash
|
c0e0b03e3e70c0e1 |
|
VISUAL
dHash
|
0186646ccca0940b |
|
VISUAL
wHash
|
c0e0f03e7e70f0f1 |
|
VISUAL
colorHash
|
110000080c0 |
|
VISUAL
cropResistant
|
920090c040800092,a6008460608000e2,8200603030800046,8000a0a0a0000008,96b6b6460ecc767e,cfe7a696564e8bc9,0186646ccca0940b |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.