Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10D936BB07632F0BD93DF40DDF7386A41A6828549E88705A0B1D49D8E23C7C5966A7BF8 |
|
CONTENT
ssdeep
|
1536:avH1736lTwavMRB9wa7MRBpYQiMRBrN92kKJtcYDte8HJLXCiFxbf8wyE2vSjNyy:a/EwaSwa2YQ/92kKkYDI8Z1W0820D0jZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f18b94969d696349 |
|
VISUAL
aHash
|
ffffc1e9c0c0c0c0 |
|
VISUAL
dHash
|
081b9b9b888c8c9e |
|
VISUAL
wHash
|
ffffc9e1c0c0c0c0 |
|
VISUAL
colorHash
|
07c00000000 |
|
VISUAL
cropResistant
|
081b9b9b888c8c9e,070f1773e1f13c3c,9148495587860c9e,757d6dc80db331c8 |
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 147 techniques to evade detection by security scanners and make reverse engineering more difficult.