Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B7A2B6316090763F126BC3DD7362B72EA1A39248DB991C0592FC8BAD8BE7E90DD13457 |
|
CONTENT
ssdeep
|
384:EKy5NscnQ2oBiMxLKUUyBTiw5hSl9B68gt9XDEi6jQLIYsOy2+y9BH4cCUIe:EKy5Nscn+uNyBTiwfSlD68gt9XDEzjyB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
836abc16cd6d92e1 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
8d99cbc3c86c4700 |
|
VISUAL
wHash
|
004d6171040fffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
0280900458988000,8c19cbcbc3c86c47 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.