Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E973E99A6881501A472740F394BB2F8DF7381C2FF91901D1A5B8C7A6B2DC8F53166F4B |
|
CONTENT
ssdeep
|
768:iyWuPWuyBzC/6Z5/usL1/Q1LWPxvz9U+d8n+tR5FXDNsX8U9lV00iBnWMdOzmmhf:d7ny5yOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
91116deeea1315ad |
|
VISUAL
aHash
|
00000004ffffffff |
|
VISUAL
dHash
|
03381c8800080000 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
17000000180 |
|
VISUAL
cropResistant
|
8898008800000000,0303e8809a1eec98 |
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 468 techniques to evade detection by security scanners and make reverse engineering more difficult.