Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F453412472156D6F195382F4E26D7BB5E3EBE253C30796CDA3F8039A5BCAC50CD0A285 |
|
CONTENT
ssdeep
|
768:bPOpCZYh4tjNlMPMnMjM1MjyjBUsqjE0rSIckOgkt9WImnLSeXbvPO:bOp5yCsqjE0rSIckOgktlmnLSv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dc09f520fd03fe81 |
|
VISUAL
aHash
|
02183c18180026f7 |
|
VISUAL
dHash
|
86306070b42ccc0e |
|
VISUAL
wHash
|
62183c381c147fff |
|
VISUAL
colorHash
|
38000008c40 |
|
VISUAL
cropResistant
|
8200966d6d960092,86306070b42ccc0e |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.