Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A5B26170604466330083D3E573792B0B76A6C248CA5357ADAAFAC36C1FDFC51ED36A68 |
|
CONTENT
ssdeep
|
384:yD32444WDP8eZNFWHVQSPcenLfHDI/3AhbqTcFDe9CrBb:yDm444KP8eTUaSPcu8AJQ9SB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
da58e262aa99e3ca |
|
VISUAL
aHash
|
ff0000000000ffff |
|
VISUAL
dHash
|
2930b03231cb3929 |
|
VISUAL
wHash
|
ff9818180020ffff |
|
VISUAL
colorHash
|
17c00000000 |
|
VISUAL
cropResistant
|
0689692909c90124,a2829c67678592a2,0126997929130d0c,283030b83230cb4b |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.