Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T117133C902700A7B5B24747CC813115E7BB02249BFF325A6CF5E252ACB892DC9CDB91E7 |
|
CONTENT
ssdeep
|
768:wqQeqSWqp8SWWBvwSw/rGMSyZfRMzpOBRk5lKaXZOPDnvRACZRV:wqQeqSzR2rZMzs0l1JOPDnvRZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed6992c7cd923292 |
|
VISUAL
aHash
|
fbf981d9f1f9ffff |
|
VISUAL
dHash
|
231333331313382a |
|
VISUAL
wHash
|
b9f18191f1d18bc3 |
|
VISUAL
colorHash
|
070060000c0 |
|
VISUAL
cropResistant
|
231333331313382a,2021a7c6c0948c8c,4bc5ccc9434f4333 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.