Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C933B622A3085D3D722787E8FBF533B6526AD286E54D0158C5BC43789392DC8FD37A98 |
|
CONTENT
ssdeep
|
384:bko0c5UwLXg1I0yJF9c5JA0VFJJOEnVUYRUP7d4B+4BAwivLVSrpxTb9Myl+StIk:bkbT3lJV/BbAdDVSNAsLWQJRhZs253Wy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3c77cb01c2ce593 |
|
VISUAL
aHash
|
027870706e660020 |
|
VISUAL
dHash
|
d4c0c0c2d8cce6c0 |
|
VISUAL
wHash
|
72fc70787e670660 |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
0000084c4c0c1000,d4c0c0c2d8cce6c0 |
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 19 techniques to evade detection by security scanners and make reverse engineering more difficult.