Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10D52FF337144D62E0F9B41EDEA98F3AA655D918AF73084C265F4813EEB80DEC287135E |
|
CONTENT
ssdeep
|
384:gFyLmDqNFN/2TS3q7E+QUkVskffMmUFCoS:gBqNFN/2TS3q4+QUaNffBUsd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cb4b94b4e594b496 |
|
VISUAL
aHash
|
f9f99999f9ffffff |
|
VISUAL
dHash
|
9313333b63b7f866 |
|
VISUAL
wHash
|
f9f90801010f3f7f |
|
VISUAL
colorHash
|
07000008e00 |
|
VISUAL
cropResistant
|
9313333b63b7f866,6b470b437c4f370f |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.