Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T166D2B93161106A3B12D782C97761A32FA2E3938AE78A051593FC83AD5FE3D94DD73427 |
|
CONTENT
ssdeep
|
768:ySby5Nr82xeY3PkxKHV7sOy2+y9BH4crIe:r2TPkE17sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d361fc12cd1c91e9 |
|
VISUAL
aHash
|
002000000004ffff |
|
VISUAL
dHash
|
8ccccce8c9cc3c00 |
|
VISUAL
wHash
|
40f66800206effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
ca714d9e9e714596,1080800458988000,9cccccc8e8c9cc3c |
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.
Pages with identical visual appearance (based on perceptual hash)