Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C0C2C672E014673B02A7C3C9B3A0F71B63D3824ED64A151153FD836D5BEBE40AD2716A |
|
CONTENT
ssdeep
|
384:lOe45Yfmo8tYHGDe5xyWaoQBH+vZkpu3zJ00fIYsOy2+y9BH4cCUIe:8e45NaHXd8ukpAzJz7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3039638bc3cb5e5 |
|
VISUAL
aHash
|
002420000000ffff |
|
VISUAL
dHash
|
dcc9ccc4c8c8c800 |
|
VISUAL
wHash
|
067c64302064ffff |
|
VISUAL
colorHash
|
31040000e00 |
|
VISUAL
cropResistant
|
0080802058d08000,d4c9c8c4c0c8c8c8 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)