Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10752D8136204263606B343C7D335FF9AE351D2989396217FA6EE814C26D1DB1E733D6A |
|
CONTENT
ssdeep
|
384:0D+hlIIK1v6aUoTzYdwEu2QWOqGEA7thQF:4WIIULsdw5JqGNhQF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cecc317566313173 |
|
VISUAL
aHash
|
383c3c3830383c38 |
|
VISUAL
dHash
|
6060706060706868 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
38001000e00 |
|
VISUAL
cropResistant
|
6060706060706868 |
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.