Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D3A20AB170106C2B81DB8AFAF23DEA416719E244D3478FB5F9AC43CD19D3928F923519 |
|
CONTENT
ssdeep
|
192:BjPSbNqOFUHD9raP72eoWvb5aOLa72dYCLzZk5CZOfM1WFYs3Vsc3kZ+j:s8OFB72eoWrLCQYCS5CZbEd3NW+j |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8459717646d9596e |
|
VISUAL
aHash
|
0000383b37373737 |
|
VISUAL
dHash
|
88e4d2d3e5eee6e6 |
|
VISUAL
wHash
|
00003b3f373f3737 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
88e4d2d3e5eee6e6 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)