Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B0C28671A1146B3B02A3C2C9F3A1BB1AB3D3814DC74A191593FD836D4BEBE10BE27556 |
|
CONTENT
ssdeep
|
768:De4xlBWybAOpnSJVy/7sOy2+y9BH4crIe:rlBDRpSJM7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3039438bc3ce5e7 |
|
VISUAL
aHash
|
002420000000ffff |
|
VISUAL
dHash
|
dcc9ccc4c8c8c800 |
|
VISUAL
wHash
|
027c74302064ffff |
|
VISUAL
colorHash
|
31040000e00 |
|
VISUAL
cropResistant
|
0c00980258988000,dcc9c8ccc0c8c8c8 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.