Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15C620F307103387B613B8691B9B65F1A7507C339C7540ADDE3AD16A96FCACE89C32768 |
|
CONTENT
ssdeep
|
384:8MTrciePvN7YZ5Lf/yLfQ/LfvJLfk8rCtTzhBeC3L:8EcH3N7YZ5Lf/yLfQ/LfvJLfk8rCtTzJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b33392ce66668c99 |
|
VISUAL
aHash
|
e7e7e7e7e7ffffff |
|
VISUAL
dHash
|
4d4d4d4d4d080c0c |
|
VISUAL
wHash
|
0303030303272703 |
|
VISUAL
colorHash
|
07400000043 |
|
VISUAL
cropResistant
|
4d4d4d4d4d080c0c,ccececdcccd4d5f4,b36b73f2b2328633 |
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 34 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)