Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B433D6206211B76E6C334F74F38A30A6D1AED344E5E6782DB3A8925530D7179CB8BCE5 |
|
CONTENT
ssdeep
|
1536:kmC0wA3Wns+OsIQ6o3E4tAQhSfq8Z7U1c/jDnYJ7woOeXfi:VXYJ7U |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333cccc3332cccc |
|
VISUAL
aHash
|
efefc7c7c7f7ffff |
|
VISUAL
dHash
|
5d1e0e8d8d161660 |
|
VISUAL
wHash
|
0083c7c7c4c0cc9c |
|
VISUAL
colorHash
|
07006000000 |
|
VISUAL
cropResistant
|
5d1e0e8d8d161660,96f979f47833e4f4 |
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 394 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)