Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F563125231481A99C2F389989910359032C7DA4FC96187B0C67C4E3F2FE2675B7A9F7E |
|
CONTENT
ssdeep
|
1536:Pr5zu+cPJP3GNyLiLzaEg0SENEdZCSs4s7/+r4PzOAXAAA0JxA1yzinUAZnkJkn6:PrDcxfJmPwENEdDs4s7/+r4LOAQAAmxD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9ca6e1c0e74cfa25 |
|
VISUAL
aHash
|
ff03031f3f0000ff |
|
VISUAL
dHash
|
ccff2f33f8b1b67e |
|
VISUAL
wHash
|
ff03071f3f0000ff |
|
VISUAL
colorHash
|
07c00000000 |
|
VISUAL
cropResistant
|
08ffff2f3bf26198,7fb7000000000000,ff7f3bf3f8b0b17e |
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 19 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)