Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A3A22B2BE2C0191905835291FF407AABE93C9D9C7235E1A0FDF9829363D48ACC1777E9 |
|
CONTENT
ssdeep
|
384:f2lFPQb+1/Xwx2HG9Vm0mZ9x7HghAkdMyMGsMNn2mcIYmGh/5gQL8mdVlbXF8j:f2lFPQb+1/Xg9+Z37HghAJMt2HIYmGho |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9e1c95e1e26ad694 |
|
VISUAL
aHash
|
1e1c1c817d7e7c7e |
|
VISUAL
dHash
|
7470302b49c0c0c8 |
|
VISUAL
wHash
|
1e1c1881bd7c7c7c |
|
VISUAL
colorHash
|
0f400280008 |
|
VISUAL
cropResistant
|
7470302b49c0c0c8 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.