Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15873977212426B3F118386D9871CEB59E787DA0AC7A3494BE7D8532B33C6DE0DD35268 |
|
CONTENT
ssdeep
|
1536:w34iql6Dc0B0q40RON9y40dXGO77KP0lxVuz8ZG:V6TII7vFG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e841a6b6363eb664 |
|
VISUAL
aHash
|
0000000000ffffff |
|
VISUAL
dHash
|
94d3933393302307 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
03010000e00 |
|
VISUAL
cropResistant
|
21da98d9d1d9989a,1232f1494c496d35,4b4e9696a90a6545,38789d9c8c8c8d8f,b263739595494b47,1a003b3023270007,8c93d3d3332b9313 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.