Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13A62A5303384267F6583C7A9F3B07B3DAADDC287C60BA909F1B542295B82D25CD563B5 |
|
CONTENT
ssdeep
|
192:8iO+HtOc+DOy+OvSgFEMF1QskvLNX8ZOeCvOgkvuOg4QkOgawIPXft:8MHRyFpFEm5IPXft |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cd126db0db4e30e9 |
|
VISUAL
aHash
|
0000003cfffffbfb |
|
VISUAL
dHash
|
0cceca6962272322 |
|
VISUAL
wHash
|
0000003cfffff3f3 |
|
VISUAL
colorHash
|
0e006000010 |
|
VISUAL
cropResistant
|
6970023827232322,c3180cceca8b6961,f4c7189d9e4bc110 |
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 46 techniques to evade detection by security scanners and make reverse engineering more difficult.