Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ABA35633411935274437C6D530A95B3BE2E6895FFAE70A010EECD7EB2BFAC90745A11A |
|
CONTENT
ssdeep
|
1536:xlLz4NP/y9svbliCd50JrjMFtiuCa28y2Os:vmAE0JvW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3439432ed30ed65 |
|
VISUAL
aHash
|
002c2000000004ff |
|
VISUAL
dHash
|
dcc8ccc8c8c8ccb2 |
|
VISUAL
wHash
|
027c7e60e06c0eff |
|
VISUAL
colorHash
|
31000008e00 |
|
VISUAL
cropResistant
|
fffffb8e96dfffff,0080812030808000,dcc8ccccc8c8cccc |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.