Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T164233A726732B87843DB92EEF7382956B2D1588DF8C74414B1C95ACE23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aabr+EsZx8/G874QDDawNMWBNwtMWB/Ucix+y9dQpUDF1E56ITmHDLBABW8KPqD4:aabr+EsZ/8UQDDawNMWBNwtMWB/UXx+m |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb7ac0e03ed0c03f |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
717171714d000000 |
|
VISUAL
wHash
|
8181810081ffffff |
|
VISUAL
colorHash
|
0e200030000 |
|
VISUAL
cropResistant
|
717171714d000000,f0f0f0f0f0e0f0f0,74743632b6b6f2f0,b6f0f0f0f0f0f0cf |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.