Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1418151705C2C6B33139783C3A7A35B0F73C0C260D95B4B1559F1638C8ACAD2ACE95645 |
|
CONTENT
ssdeep
|
96:lqgksWhEQHlcc6nxY0KPJMbCXohYg5Cqx4FCM:lqlZClrnxsP6sop5tWFp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3cecc31329a6666 |
|
VISUAL
aHash
|
e7ffa5a5e7e7ffe7 |
|
VISUAL
dHash
|
0c322a2a4d0c2004 |
|
VISUAL
wHash
|
f0d8d8c0c0d8c0fc |
|
VISUAL
colorHash
|
07000000006 |
|
VISUAL
cropResistant
|
0c322a2a4d0c2004 |
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 57 techniques to evade detection by security scanners and make reverse engineering more difficult.