Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F202C6F74134603E221B8BCCE726F6563067A2AECDEB99D0A9FD4F8902C1FE13911550 |
|
CONTENT
ssdeep
|
192:9bGIuNJx3ZOGaZbZOGXcZOGfPM+84OZOGp5U:9C1NJxpp2VpgpFCpp5U |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc993366cc993366 |
|
VISUAL
aHash
|
00183c183c3c1800 |
|
VISUAL
dHash
|
70e0f0f0f0f0f070 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
38c00008000 |
|
VISUAL
cropResistant
|
70e0f0f0f0f0f070 |
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 43 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)