Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B8E176BB9043F91E1AB2C1B8BA60771CDD838A86D2435E4991F44F5E6AC0FE1C90176E |
|
CONTENT
ssdeep
|
96:HrpPz8CvqYI+mIbBsSIHuYIT9pJyEIuCxB8uT4IKP6IvoxVhFv1od1:HVZiOmtNuPJyg0dHxi1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b33399cc6466cccc |
|
VISUAL
aHash
|
e7e7c7c3e7ffffff |
|
VISUAL
dHash
|
0c0c4c4d0c000800 |
|
VISUAL
wHash
|
c0c0c0c0003c3c3c |
|
VISUAL
colorHash
|
07040006000 |
|
VISUAL
cropResistant
|
0c0c4c4d0c000800 |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.