Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T139D382D56618438CA047CABDFF2FFE05131FB1AABA558680298EC26895CF8D1F71752C |
|
CONTENT
ssdeep
|
1536:bN0RQ7HkIefjEDdGyqvFsR8MLqcoBFsR8MLqcMv:J0RQ7HHHDdGWjm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb922b6e92936c38 |
|
VISUAL
aHash
|
ffffffff81818181 |
|
VISUAL
dHash
|
0c0c170823232b23 |
|
VISUAL
wHash
|
e7e7e7e781818181 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0c0c170823232b23,2b2776b698b8c5c5,96966aa2aa6c6a6a,94046a96949a1ada,9689a9b36daaab16,2624b6b38b8bb332,3237d6b2a6b6b435,18a486a9a9a1a9a9 |
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 83 techniques to evade detection by security scanners and make reverse engineering more difficult.