Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FEE29671A120963B42E7C5CCB7B2BB2E62E7824AC745145496FD83BD0BD3E18ED33691 |
|
CONTENT
ssdeep
|
768:epoYckkh24iE7XChB1YuP7sOy2+y9BH4crIe:qoYKhShkuP7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c743bd38b029e5b2 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
48e0c0c8c8c4c700 |
|
VISUAL
wHash
|
003870706c70ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
408080004c888000,48e0e4c8c8c8c4c6 |
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.