Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13E218630D44A9E3753D2A3C8A7BAAB6B67C08680CBE39F0165E4C39D8BD2D06CC66115 |
|
CONTENT
ssdeep
|
24:hWCONsXK/RVCVP4gA+wGK9wMWVdzZXAeXJunqU7K:UsKR0LX4HWVda2U2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bbe107bc1720c7d4 |
|
VISUAL
aHash
|
ffffef0f8f0f0f0f |
|
VISUAL
dHash
|
5b3bdb9b383aba7a |
|
VISUAL
wHash
|
0f8f2f090f0f0f0f |
|
VISUAL
colorHash
|
06c00010000 |
|
VISUAL
cropResistant
|
5b3bdb9b383aba7a,1a1b3b1d9f269d5c,a6878fadad9c9c9c |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.