Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T112E2A872A1406B3F0163D2CAB391A75A63E2834FD34A051653FD876E0BE7E50DD2B35A |
|
CONTENT
ssdeep
|
768:yQe1i7WBSdZXUBL+xxQGojX4jj57sOy2+y9BH4c1Ie:uQ//WM7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d360f91e9d6994c1 |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
98c8c4c8ec0cc300 |
|
VISUAL
wHash
|
006470303e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
04200c86860c3004,0080800058988000,9888c4c4e8ec3cc3 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.