Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T179E2637161106B3B02E783D9B361E71EA2E3C24DDB860A1653FD835D0BD7E10EE6352A |
|
CONTENT
ssdeep
|
384:ZeFHn8XQ2o4u61d1o1mxlyxmihb1hYapoTdzu2F4BUmFBNGKnk0BIYsOy2+y9BH7:ZeFHn8TPivq8CdMnH7sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9247f412c939b9e9 |
|
VISUAL
aHash
|
002000000004ffff |
|
VISUAL
dHash
|
cccc40c0ccccad00 |
|
VISUAL
wHash
|
04fc10380c0effff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
c3e18e8686c1c3c3,0880880458988000,9ccc48c0c8cccc0c |
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)