Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1476254B433032AF756CBC374BA955FB4A290D78CC623861575FC466A0F97DA2CC423A8 |
|
CONTENT
ssdeep
|
384:Q/0bmetmlnclFNLiyg+leMkzHvOlNYkxv:QMSetmlnclF1lPlNYkx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f3c45c5346d9d944 |
|
VISUAL
aHash
|
fec3e7e7e7e7e700 |
|
VISUAL
dHash
|
8c0d14482c4a480c |
|
VISUAL
wHash
|
66c3e7e7e7e70000 |
|
VISUAL
colorHash
|
07230000000 |
|
VISUAL
cropResistant
|
8c0d14482c4a480c |
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 3170 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)