Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B353DAB1F688273616F382E4F605FE9FF2E4D18CC6590798E2FB532668C49D9D003699 |
|
CONTENT
ssdeep
|
1536:QaPdXiKujOf0u7RDbuaJHQh3GkhE5BdtQJZIxOZGhw:Qcx8MbPHQFGfNw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9e61ce967944639c |
|
VISUAL
aHash
|
408101801e863e9f |
|
VISUAL
dHash
|
802323275d0d242d |
|
VISUAL
wHash
|
40818181ff87bf9f |
|
VISUAL
colorHash
|
18006000000 |
|
VISUAL
cropResistant
|
802323275d0d242d |
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 935 techniques to evade detection by security scanners and make reverse engineering more difficult.