Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13A735222780E453FB14B97C592F4FAA78D91CE0AEE301E05DAF99FCACA50F12B575118 |
|
CONTENT
ssdeep
|
768:4h2hrSDqO7/4V1jdBDzdtUQBJNtJBscMYcGaIQzy40N++sw4hB2gW3zT:lhrSDq84VdgW3zT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c1e53b36955f40a5 |
|
VISUAL
aHash
|
00f3f8f8ff780000 |
|
VISUAL
dHash
|
d4838290c6a12b3b |
|
VISUAL
wHash
|
00fbfaf8ff7d0000 |
|
VISUAL
colorHash
|
31e00008000 |
|
VISUAL
cropResistant
|
5859515567333299,e4c6cfc6c6cee6a6,185ada584c4c4ccc,b3736b6bca8c0c89,96961474591f80a2,d4838290c6a12b3b |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.