Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BA33309A63381E7CF4030BFCDB4472BB022FA3EE754955687D2D09782561A8DF92B9D0 |
|
CONTENT
ssdeep
|
384:AlrebgAlNhKPxmnRPxNZMaRoQJBESseOis3srQFy0bVBeigRzRwh/q:GmKPYnzOQdqsrQFy0bVM/RzRw5q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e63333cc99226799 |
|
VISUAL
aHash
|
e7e7e3e7e7e7e7e7 |
|
VISUAL
dHash
|
8e8e8e8e8e8e8e8e |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
0e000000442 |
|
VISUAL
cropResistant
|
0202020202020202,8080808080808080,828a92cccc8c9288,36b38d83a8a1cc59 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.