Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F3C263726190673B0293C2C97761AF2FA2E3C289E789051253FD476D4FE7E40EE23569 |
|
CONTENT
ssdeep
|
768:HkeXJj0od7K+8So0E9i2wzJ7g/7sOy2+y9BH4cLIe:x58T8m7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2458432f93cb4ed |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
ccc8c0c8c8cc8c00 |
|
VISUAL
wHash
|
06743060640effff |
|
VISUAL
colorHash
|
31038000000 |
|
VISUAL
cropResistant
|
008080005cc88000,dcc8e0c0c8c8cc0c |
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.