Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F431FF70645E5C66A983E5EC72E5460A36C9C312CF83170093F8C3AE59DBF81CDA93D9 |
|
CONTENT
ssdeep
|
24:hR/CExWUhs4hjXB9WhYwgL5s3xF4OaWQyN9uiUCjHHcx7Q7uxPoYS86W2lS:TJWUPho1/FLaWQyHcCT8u+PkW2U |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9999cc6666333399 |
|
VISUAL
aHash
|
1818180018000000 |
|
VISUAL
dHash
|
32b2324c300c0000 |
|
VISUAL
wHash
|
fcfcfce4243c3030 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
32b2324c300c0000 |
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)