Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10D73657612426E3F108342E1932CE75AE383DA0AD7B7494AE7E8931B27C7DE0DD355A4 |
|
CONTENT
ssdeep
|
1536:mFrMAoz4DcoPN0qrf+4i7belL8yyzgp0uIAFGa0YJb/DJVw7wwVJ0NbuxVuz8G+1:SB6qrfSbeA5g+uI9a0irDJVGwwVeNbn8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2506cbe96d496f8 |
|
VISUAL
aHash
|
00003c7e7effd1ff |
|
VISUAL
dHash
|
8c8bccd0cccc23cc |
|
VISUAL
wHash
|
00003c7e7eff81e7 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
c8c8d4cccc23264c,848fc9cbc0c8dcd4,4561417971690141,17496969696995a5,00454d7171414541 |
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.
Pages with identical visual appearance (based on perceptual hash)