Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E102973110481C3781178199A7D1E76B31A6A282DB574A04C6F8979E9FE7ED0EE322CD |
|
CONTENT
ssdeep
|
192:I9Ciu3F4sYWyHv7eCFIk1T8y1kDuy1kDjj:IK14sv0yHkZ8y1kDuy1kDjj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
96b2694b966d30d6 |
|
VISUAL
aHash
|
0d0e1e3e3e1e1800 |
|
VISUAL
dHash
|
d9fcfcecec7c7273 |
|
VISUAL
wHash
|
0d0f3f3f3e3e3800 |
|
VISUAL
colorHash
|
32e80000000 |
|
VISUAL
cropResistant
|
6667e0b49498c8c0,b2beb8b2b28eb2a2,9b695adbe6666ddb,d9fcfcecec7c7273 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.