Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13FD26572A0342832626F77D6F555B70590D3EB1ECF869BF6D0B8A3760998C32BD0341A |
|
CONTENT
ssdeep
|
384:ZeeX/UZwMb4pH+ZprnibLq6IjHAnTzmkw2kUiElO:ceX/UuFxLJfm4iEs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc63a3e2e3e2a2 |
|
VISUAL
aHash
|
f91818183c000000 |
|
VISUAL
dHash
|
33b2323060200000 |
|
VISUAL
wHash
|
ff1818ffff000000 |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
33b2323060200000 |
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 280 techniques to evade detection by security scanners and make reverse engineering more difficult.