Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B9F35CB7310DB6331A2383E2B1AB26527172022FD95A0D50F274E5DA37EAC49E43B5DD |
|
CONTENT
ssdeep
|
1536:UjxTgXO+UgJpRA6plX4ELXtlUuRNka2wblHbJLwLIz9GguGOjjRnY:UjxTN+UgJpxLRrX2wd9W/guGO+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d233556cd26acb85 |
|
VISUAL
aHash
|
000e0ee4f4f1f0fe |
|
VISUAL
dHash
|
893cc88dada5a5d0 |
|
VISUAL
wHash
|
000e2cf5f4f0f0fe |
|
VISUAL
colorHash
|
02202000180 |
|
VISUAL
cropResistant
|
48a88f8e8b8bab63,c4c4c4c49593d2dc,893cc88dada5a5d0 |
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 9334 techniques to evade detection by security scanners and make reverse engineering more difficult.