Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T185E176AB5042E91E16F2C1B8E950771CDD43958AC3835E4951F54F6EAEC4FA0C50136E |
|
CONTENT
ssdeep
|
96:HlXGMPzYCvqYIbOeEBsBIFg/YIImZqrWTEIk8t6VtHvT4Iwx6IvoxVhFv1odC:HlpVirOg//4ivT48tYHb9HxiC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b33399cc6666cc98 |
|
VISUAL
aHash
|
e7e7e7c3e7ffffff |
|
VISUAL
dHash
|
0c0c4c4d0c000800 |
|
VISUAL
wHash
|
c3c3c3c3003c3c3c |
|
VISUAL
colorHash
|
07040006000 |
|
VISUAL
cropResistant
|
0c0c4c4d0c000800 |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)