Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T148A38A33411975274437C6D130B55B3BD2A69A4FFAE70A010EECD7EA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:qUag3GpZoMhIScbL2ZGWB5E7p7ZSVxPm9Hr60pOiCLz4NP/y9svbliCdkTDFtiuW:TsmAjU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d261fc32e92c9669 |
|
VISUAL
aHash
|
00600000000400ff |
|
VISUAL
dHash
|
8cccc4c8d82cbcb2 |
|
VISUAL
wHash
|
c0fffe60440e00ff |
|
VISUAL
colorHash
|
310410002c0 |
|
VISUAL
cropResistant
|
ca55714d4d714d96,008081303000a000,8cccc4c0d8dc2c30 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.