Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B3A1DB2150C57E3B80A393D4EB915ABAF7980284C6138609D5FACA0F9FDDD41DA32675 |
|
CONTENT
ssdeep
|
48:mWI+g01ZEZTWlZPYAMLG2oh2qwr3adww+Z56VfGk7w5m6mitfXgemQEULHCgFx+0:mMgv6LpxZi/gyek+KNrBKdjwQY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9966669b6c323966 |
|
VISUAL
aHash
|
3c3c181818183c18 |
|
VISUAL
dHash
|
6971b2b2b2b2f0f0 |
|
VISUAL
wHash
|
bd3c181c1c3c7e3c |
|
VISUAL
colorHash
|
30040000600 |
|
VISUAL
cropResistant
|
300daca2ac4d5352,73535cd5dbef2ff3,6971b2b2b2b2f0f0 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.