Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DAB2A5316140263B626B83CDB662F72EA1E3938CDB851C0552FC479DCBE6ED0D91785B |
|
CONTENT
ssdeep
|
384:IFy5Nlno8BY+nTFUii5UJvBsIIIahQrq6mXjwb2P1jcgWLs+IYsOy2+y9BH4cCUl:IFy5NlnosvimJvBsIIIahQrq6mXjwSP8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c36bbd3291699692 |
|
VISUAL
aHash
|
000020000400ffff |
|
VISUAL
dHash
|
9dc7c1c3cc6c1300 |
|
VISUAL
wHash
|
007170706e04ffff |
|
VISUAL
colorHash
|
31008000603 |
|
VISUAL
cropResistant
|
0000084c4c4c3004,0080800270908000,99c7c1c3c3cc4c13 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.