Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T169516365C108DD2B9274C0D4E571A36D9AC9824993130B88A7EC473C27EB9AADC5FEC8 |
|
CONTENT
ssdeep
|
48:2IK6fEdLQ8mHDQeMt5MSjWAUf1sHcKtub8CXSL5fh6qLv:fKtt5Mvq8KtuXoNhhv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d7b06da6238d2237 |
|
VISUAL
aHash
|
7e7ee4fce4f8f0e0 |
|
VISUAL
dHash
|
54b04870a8a04080 |
|
VISUAL
wHash
|
3e3e64f8e0f0f0e0 |
|
VISUAL
colorHash
|
07200218008 |
|
VISUAL
cropResistant
|
54b04870a8a04080 |
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 42 techniques to evade detection by security scanners and make reverse engineering more difficult.