Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T175E2D732B0003A3B4197D2C973A2FB1AA3D39249EA560455A2FDC7AD4BE3D94DE33517 |
|
CONTENT
ssdeep
|
768:1Sky5NjEBhpkjatwydRJ27sOy2+y9BH4crIe:dq8k7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c361bc1eed22c1e3 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
92ccc8cacaec0c00 |
|
VISUAL
wHash
|
0064fc70201cffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
0c0080025cd88000,d28cc8cacac8fc0c |
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.