Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E0734BF4A140FD220573409BA05F9786B3BA101BF90C4DA0B25CCBDEB6E5CA751B7799 |
|
CONTENT
ssdeep
|
1536:itm6qUwgABwjXqNrxRykS9ZzzQ2N0msQw:itm6qUwgABGZZVw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b83a9bcdc4c76264 |
|
VISUAL
aHash
|
8d8181dfc3c3c3c3 |
|
VISUAL
dHash
|
3b3b0b2b272b370f |
|
VISUAL
wHash
|
858581ffc3c3c3c3 |
|
VISUAL
colorHash
|
0e000188000 |
|
VISUAL
cropResistant
|
3b3b0b2b272b370f,57674fa786c77777,0080c4c090ccc8c8,cacecdcd4d0f8caa,b2a7278cc833091d,deb4e4252e3e5151,70bdbdb2a4a1b675,72bdbdb2a4a53275,70acb5b2aca1b671 |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.