Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B60231E1D450ED370B1285C5A7B67B2B76A1C359CF42099093F893BE67CEC61CB2249D |
|
CONTENT
ssdeep
|
96:Tk11Toz8B4STB9nkwkyt7l1z4Y1LIEu/wvFbeBXTHFOehXQz/opOYUST5+AT431:Q11Toz8BxjnkJyr1z4YL3uNJzCzbOP8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b3790cce4e4c0e |
|
VISUAL
aHash
|
ffefffffff000000 |
|
VISUAL
dHash
|
10185c000820c820 |
|
VISUAL
wHash
|
00efffffff000000 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
205a5e1c181c0828,0000000000000000,40404048455abaca,0000000000000020 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.