Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12AB1C1B382D6D12A2332D6CAB0B4B72CD2E3107DDF525565EAB9075E49CCDA1B04358B |
|
CONTENT
ssdeep
|
96:aOnNcchDjIh2jkhdj9hojnhvj+hbOjHVdYuFr8C7CIQF2J3qeFfweWe:aOnNccdIwk39Knx+5ubReIweX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2699393ce6c3c32 |
|
VISUAL
aHash
|
3c3c00303c3c3c3c |
|
VISUAL
dHash
|
d8d800e468686868 |
|
VISUAL
wHash
|
7c7e00783c3c3c3e |
|
VISUAL
colorHash
|
31c02000000 |
|
VISUAL
cropResistant
|
d8d800e468686868 |
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)