Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F4A22F341143793727A789D02462073776DAEB09CD238944A7FC83B5AFEBC94ED6D48A |
|
CONTENT
ssdeep
|
384:5tlGNZuIdKYSxEgEdEXE3E6EZEtvsEoEHDKHtdEw67tudp:5DGNZBtudp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
85013cf8fed34665 |
|
VISUAL
aHash
|
000000ffffffffff |
|
VISUAL
dHash
|
fcfaf0c1372b2b27 |
|
VISUAL
wHash
|
000000fdffffd791 |
|
VISUAL
colorHash
|
07c00008000 |
|
VISUAL
cropResistant
|
d0d0d0d0d8d898b8,d02bb49b282b3a27,a6fcfcfcdaf2f2d4 |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.