Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B171936BC1A590090B1703D03D73309DEBB782DFE792AD946CB4918CF3EC649227A21A |
|
CONTENT
ssdeep
|
96:ga6GPZylw/rlMWVlMOtlMelMGlML0EdxGu2XDMWeON1r:garPZylwTlMQlMOtlMelMGlM7d4zXDu4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e46e93d9690b926c |
|
VISUAL
aHash
|
fb97b333f3f7ffff |
|
VISUAL
dHash
|
cb25674626c4dbb6 |
|
VISUAL
wHash
|
39131333f373031f |
|
VISUAL
colorHash
|
07002000180 |
|
VISUAL
cropResistant
|
cb25674626c4dbb6,7a5d5c6f66636d0c |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)