Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10BA3B57106402717E35323A9D9D0EFAA0268528496F311548DB983EE1FD7E2BB4FE2D7 |
|
CONTENT
ssdeep
|
768:QeVeuea27tLSwNTdGpHecISCxNTh0p2pnp4tT3MG5OOus6BREdeJev0:QUnIYyx+jMcetBRIk1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
969532663f316396 |
|
VISUAL
aHash
|
063e7e3e3e601c00 |
|
VISUAL
dHash
|
9cf0f8fa60ccf0a4 |
|
VISUAL
wHash
|
4e3e7e3e3e603e00 |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
9cf0f8fa60ccf0a4 |
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 220 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)