Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CB94737091525A77006383D7EEB07F0933D1A2A9D7960BA546F44BBF9FCAC20FD8A146 |
|
CONTENT
ssdeep
|
3072:AXtXrB5NlkaoDF6d9uT6OlPnn2oxRdlB1/wKFh14bkbY4mS9VP3C3tBRMNITH15S:U7+n2+l1wkbYlbGNC6yR99hDdc7wjI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc290b4f6b3d2439 |
|
VISUAL
aHash
|
00dfc3c3ffc3ffc7 |
|
VISUAL
dHash
|
03343e0e9686360e |
|
VISUAL
wHash
|
00df83c3c3c3c7c7 |
|
VISUAL
colorHash
|
060010001c0 |
|
VISUAL
cropResistant
|
82a4929686b680a2,203e1e1e9686360e,8b8b1b0b0b2b2033,f0d6c4f08dcc999b,5252262b2ff3d3f3 |
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 60 techniques to evade detection by security scanners and make reverse engineering more difficult.