Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A49231328149722B133B49C8E8721B2D60E39B5DDD330C45ABFC578BBFD6DA1AD1548A |
|
CONTENT
ssdeep
|
384:ExYdktgeqpWT5AWwwMhVPmeEDvwL6Spf9pA3iU9pV9p2kKGHWaX7tl1X7c:EqdHewWT/fa5bgRIEzxa8WaX7tlB7c |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c72c38d3c764c35c |
|
VISUAL
aHash
|
0000383c3c3c0000 |
|
VISUAL
dHash
|
8e716141484929a7 |
|
VISUAL
wHash
|
00013d3cbeffc5c5 |
|
VISUAL
colorHash
|
0f200018002 |
|
VISUAL
cropResistant
|
2232222c0424242e,8e716141484929a7 |
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 1562 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)