Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10DC2A63170006A3B52D782C9B761A32BA2E3934AF74B091592FD83AD4FE7D94DA33516 |
|
CONTENT
ssdeep
|
768:fSby5N9yXkqFgvlCIag7sOy2+y9BH4cLIe:mXYCIf7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d265fc12cd1c91e9 |
|
VISUAL
aHash
|
002000000004ffff |
|
VISUAL
dHash
|
9cccccc8c8cc3c00 |
|
VISUAL
wHash
|
00f6ea00204effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
ca754d4d4d715596,1080800458988000,94ccccd0c8c9dc3c |
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)