Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10C31DF3050195C26AA83DAEC76E4560A35D5C313CF83171153F8C35E59DBE41DE6A3C5 |
|
CONTENT
ssdeep
|
24:hR/CExWUhs4hjXB9WhYwgJYSXxF4OadIIwN9uNyHHc1YQ7uxPoYSBu72lS:TJWUPho1kRFLayvHF81J+Pf2U |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9999cc6666663399 |
|
VISUAL
aHash
|
1818180018000000 |
|
VISUAL
dHash
|
30b2b24c30040000 |
|
VISUAL
wHash
|
f8f8f8e000103030 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
30b2b24c30040000 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Portugués | Inglés | Trigger |
|---|---|---|---|
Pages with identical visual appearance (based on perceptual hash)