Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11B5220708018BD2F4167F2C49672AF9B33C5A344DA874B0553FC5BBA9FEAD50CC5A0A6 |
|
CONTENT
ssdeep
|
384:9T7cJxDY9r31k7aPxZZmrapCSZ/rap9aXxiYpC6s:9T7SC9LPxZZmrapCSZ/rap9aXxiYpy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e7d051c596964dc9 |
|
VISUAL
aHash
|
fee1c1e7f3fb8000 |
|
VISUAL
dHash
|
f0010b4d46724c0e |
|
VISUAL
wHash
|
fee1c1e7fbb88000 |
|
VISUAL
colorHash
|
07c00018000 |
|
VISUAL
cropResistant
|
f0010b4d46724c0e |
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 21 techniques to evade detection by security scanners and make reverse engineering more difficult.