Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1856265A29119A93B437392D9F3B1B74AFB838185C986054BD0F5D31C2FE2EB1EC1A255 |
|
CONTENT
ssdeep
|
192:wS8WeeTnFbOVZgLwtRU9f3VqIStUhNk3hmpQHX5cTBrFox:VFCVm6RU9f3VqIStUh23hmpQHJIBRox |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fe5e6961a11e1e90 |
|
VISUAL
aHash
|
80809c9effffffff |
|
VISUAL
dHash
|
2838343430202024 |
|
VISUAL
wHash
|
80808c9cfff1f4f4 |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
2838343430202024 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)