Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ACC2E985D0E0357A0F425B45A9316F9EE26440ECF7222EB974FEC0F9D29D96BC933A41 |
|
CONTENT
ssdeep
|
384:kx0NOo5Km/5znUTkgJLpVT2r6ePhwjjBoHf4GAO8ttBI:E0N75Km/JnSkupVT2+e69g4Q8ttK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c33c39c765333165 |
|
VISUAL
aHash
|
0018003c7c7e7e7c |
|
VISUAL
dHash
|
062123ccc4d0c8c4 |
|
VISUAL
wHash
|
0018007e7e7e7e7e |
|
VISUAL
colorHash
|
38000008c08 |
|
VISUAL
cropResistant
|
062123ccc4d0c8c4 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.