Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13E616C209014DD3B0293EBE866F76B0F21D3C607C6A7168D97F0878D9AE3C89DD5539A |
|
CONTENT
ssdeep
|
48:ImPPWzAH4OiyJAJYeFh6E2SuXAPy9uIJazZal/M7mJan:lOzE5AJYihTNLy9uLadM3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83f67f09090999fc |
|
VISUAL
aHash
|
3f3f3f3f3f3f3f3f |
|
VISUAL
dHash
|
d0ccccdad0d0d0d0 |
|
VISUAL
wHash
|
3f273f3f3f300000 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
a09c9892a0808080,f184acb6b6ac84f3,0e71710e20000000 |
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 195 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)