Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1395393B11286A63B858792C2F7791F1AF2D59383CA120D89B3F4974EDFC3D54EC2A164 |
|
CONTENT
ssdeep
|
1536:IM/LfLhLILG/K/i/H/KC0NLRLxLALqLML1cXv4gUk:IM1/mhv4gUk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8ddc77227781dc84 |
|
VISUAL
aHash
|
0218181810010180 |
|
VISUAL
dHash
|
4630327071316b45 |
|
VISUAL
wHash
|
229898bc1819bfbf |
|
VISUAL
colorHash
|
38000008007 |
|
VISUAL
cropResistant
|
87c759a8b25c5c62,3333c5cdd9cc0c0a,97965d6d6d1496ab,4630327071316b45 |
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 150 techniques to evade detection by security scanners and make reverse engineering more difficult.