Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T125330020B04188A352339BC5BA52BECDA6D7F30FC259C560B2F715852FD2DB4BC649B6 |
|
CONTENT
ssdeep
|
768:5ZsXW7Niiy2yUyEyg397hC8obfRwRtvZuq845:Ixk3thxgfRwRtBuE5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9999d93333649933 |
|
VISUAL
aHash
|
1818181818181818 |
|
VISUAL
dHash
|
b2b2b2b2b2b2b2b2 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
30400030000 |
|
VISUAL
cropResistant
|
2aa62463e6eee3a5,bd39bcf4f0646a99,2b6a6b636b5a4a9a,b2b2b2b2b2b2b2b2 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.