Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T102220360F0B4AB3B51D3D5E2B771376A5D9FC22AC06BD402BEE5C68B4BC9D10CD09256 |
|
CONTENT
ssdeep
|
192:3e6sjqspTvsNdcXAi/L9/7gCY6kRzVVBsnH:FRATvsLcXAi/L9/7TY6kRzVXSH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c98c36b1cccdc1b6 |
|
VISUAL
aHash
|
ff04787878781818 |
|
VISUAL
dHash
|
f278f2d2c2d2d2f0 |
|
VISUAL
wHash
|
ff38787878781838 |
|
VISUAL
colorHash
|
000010001c0 |
|
VISUAL
cropResistant
|
6b695332ada6f5b5,f278f2d2c2d2d2f0 |
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 234 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)