Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11631DF30645E5C66A993D5EC72E5460A36C5C312CF83160093FCC7AE5ADBE81CD693D9 |
|
CONTENT
ssdeep
|
24:n/C6xWUhs4hjXB9WhYwgL5simxF4OaWQyN9uiUCjHHc5Q7uxPoYS86W2lS:n9WUPho1cgFLaWQyHcCT8a+PkW2U |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9999cc6666333399 |
|
VISUAL
aHash
|
1818180018000000 |
|
VISUAL
dHash
|
30b2324c300c0000 |
|
VISUAL
wHash
|
f8f8f8e0243c0c0c |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
30b2324c300c0000 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Portuguese | English | Trigger |
|---|---|---|---|
Pages with identical visual appearance (based on perceptual hash)