Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B3517565C108DD2B9270C0D4E571A32C9AC9824993130B98D3EC473C27EB9AADC5FEC8 |
|
CONTENT
ssdeep
|
48:dkfEeLQ8mHDQeMt5MSjWAUf1sHcKtub8CXSL5fh6qLv:d0t5Mvq8KtuXoNhhv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
82329d0c778dd937 |
|
VISUAL
aHash
|
0f1f0f2e267c7cf8 |
|
VISUAL
dHash
|
fcfce8e8e8e0c0c0 |
|
VISUAL
wHash
|
0f0f071e267c78f8 |
|
VISUAL
colorHash
|
07000248009 |
|
VISUAL
cropResistant
|
fcfce8e8e8e0c0c0 |
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.