Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T199C2B63161406A3F02A7C3C97761BB2EA2D39289E785052143FD836D1FDBE50ED67939 |
|
CONTENT
ssdeep
|
768:ke/57f6qFVkzN/VEllUd9f7sOy2+y9BH4cLIe:57YzVylE7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3439432bc3cb6e1 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
dcc8c8c0c8cccc00 |
|
VISUAL
wHash
|
067c6060600effff |
|
VISUAL
colorHash
|
31038000000 |
|
VISUAL
cropResistant
|
008080005cc88000,9cc0c8c0c8c8cccc |
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.