Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ECF10FF1D150ED3B431285D9F7BA6B0B7791C349CE07054093F883AB9BDADA0CA26599 |
|
CONTENT
ssdeep
|
96:TkzbzDatAmNJhUSPrt8v67MAddtQl8wvFzQexX0HFueBX2X/4kytu8fG9a2J:QzbzDaKKzt8iI6dqllu/wX3yAQGow |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4249b9b64e6c33c |
|
VISUAL
aHash
|
ffdfd3d3d3ffffff |
|
VISUAL
dHash
|
02102626a6062000 |
|
VISUAL
wHash
|
3002000013333f3f |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
02102626a6062000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.