Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1872222707002386612379AD2F1A15F0D225B9339C7560E28F7FA1673AFCDCF599627A8 |
|
CONTENT
ssdeep
|
192:mNhb4gSOzhQEnxZx9knW7xK9a9XvErEFZ5LfRqLfRrLfRzLfR+LfRwyCMKNqyTzV:wt2+P48nFZ5LfRqLfRrLfRzLfR+LfRwj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f780d52aa2a62add |
|
VISUAL
aHash
|
ffffffe70000ffff |
|
VISUAL
dHash
|
0000000911410000 |
|
VISUAL
wHash
|
f3f3f7000000cece |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0000000911410000,0000101010100000 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.