Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18DD2833472005A7E91C3D3B6B365AF7FE2BDD689C9179A54B2F8C3091BDAD41CE02291 |
|
CONTENT
ssdeep
|
768:CLJhK2J/kwpf8lDdqlKn+nPnDha7xaXcEkyn6W6NR:ukqo+PDg80 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed9a13e86dd23192 |
|
VISUAL
aHash
|
fffffff1f1f1ff00 |
|
VISUAL
dHash
|
6b71f06723270192 |
|
VISUAL
wHash
|
b91f3f31f1c0fc00 |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
6b63f0e727272330,7f7fdce4e4d89823,29d252d2da52d22d |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.