Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15CC2B932B1006A3B02D7D2DAF361A32EA2E78345DB571815A1F9839D4BD3D64DF37126 |
|
CONTENT
ssdeep
|
768:GScy5NiAmXkFaxhCbJPVWpBkZ7sOy2+y9BH4cLIe:3m0M8opBY7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c762b43a9d28d6c3 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1cccc6e2c8cdc300 |
|
VISUAL
wHash
|
00f7f0302024ffff |
|
VISUAL
colorHash
|
31000600030 |
|
VISUAL
cropResistant
|
c10080026ccc8000,9ccccec2c0c8cdc1 |
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.