Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T142B401F113228DBF419BE9F2F3A56B3E7095C70CDE9B994E92E883A567C2C05ED61140 |
|
CONTENT
ssdeep
|
1536:8z59EiwfGKeQV1wNFtsltR2PR2PR2PR2TJBZEfG6VPbtAKXUbbaAORbD/lgm9hIP:iu000XQv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c79b74c37338c85 |
|
VISUAL
aHash
|
0218180018183f3f |
|
VISUAL
dHash
|
0433b22b33b1c86c |
|
VISUAL
wHash
|
82981a1939387f7f |
|
VISUAL
colorHash
|
38007200000 |
|
VISUAL
cropResistant
|
e0aac027268280e0,0433b22b33b1c86c |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.