Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16FA3E87231582C23E5639796ABA4B3EF31BB9228DAB360405CBCC1975FD7C9588341E7 |
|
CONTENT
ssdeep
|
768:N2WBBK44qt4w/MdkLV0lsY2xJ7zn9oFqcu/nhVWG4R5Dx4TWuVUudeuqP44hX:Na44a46AoW+DLiqVnhVWGiW5SuYxP44h |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
87be3a313584e595 |
|
VISUAL
aHash
|
07fd7f3f26201c00 |
|
VISUAL
dHash
|
4c49e5e4ccc6b0e8 |
|
VISUAL
wHash
|
07fd7f7f27201c00 |
|
VISUAL
colorHash
|
30001000288 |
|
VISUAL
cropResistant
|
4c49e5e4ccc6b0e8 |
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 166 techniques to evade detection by security scanners and make reverse engineering more difficult.