Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12F73457161417A3F285342F3C328E76AD387E605C7A7498AEBE8431B27C6EA1DD35874 |
|
CONTENT
ssdeep
|
1536:OPiUsN8DcUX0c4mROBVye0rfG01bMR0fxVuz8tW:F0liIbr/W |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2516c3e969cb664 |
|
VISUAL
aHash
|
00003c7e7effd1ff |
|
VISUAL
dHash
|
9493c8d8cccc3387 |
|
VISUAL
wHash
|
00003c7e7eff91e3 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
d0c8d4cccc33271e,8c93d1d1ccc8d4d4,4561417971690141,b435554a2dadcdc4,00454d71714d4582 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.