Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C423F806538833EE110B068167B13F8273F6201BDB611A1881BD839F9AA7F56DB7F5D8 |
|
CONTENT
ssdeep
|
768:OQ44eFBj+eeJa68IZU1OtYTeKj7zxakfgmrpU6vqxlwQY:r44OyiWK1OtYTeKjHsqg0pidY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d07b60e42fc59897 |
|
VISUAL
aHash
|
ff001c3c3c7e7e00 |
|
VISUAL
dHash
|
84a8f0f0e8d4d4c4 |
|
VISUAL
wHash
|
7f181c3c3c7e7e00 |
|
VISUAL
colorHash
|
39200008440 |
|
VISUAL
cropResistant
|
6969d8b4b6b26b4b,84a8f0f0e8d4d4c4 |
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 23 techniques to evade detection by security scanners and make reverse engineering more difficult.