Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C5E2B431A014A93F1AA773E1E7B4A31A62C98389DE83071681FDCB4D5FEBC90ED17195 |
|
CONTENT
ssdeep
|
384:/WHoIISIIIIII9tlBOFXJKoW5wln25XCjFqYI3k6yiLachCPpW:HIIBIIIIIucwBGXdknJA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83e37d1e1839c6c6 |
|
VISUAL
aHash
|
00e3f7eb7f3c1818 |
|
VISUAL
dHash
|
87cfcf9be5e1f0f0 |
|
VISUAL
wHash
|
00e3f7cf7f381818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ce9c988c0c,0000e0d440000000,87cfcf9be5e1f0f0 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)