Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CC126233E600DC6A8A9B468CF1C49588461DC349FB3148C6B26091FF3BC5DF06AA939E |
|
CONTENT
ssdeep
|
192:48DS8Y81dQHzlFSIBx6txsU0McnthWeNWbt/fMmUU8VCojbP:4YSLKQHzlFS0UZfMmUFCo/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
945c352b6b61ca4f |
|
VISUAL
aHash
|
001e3e3c3c3e06ff |
|
VISUAL
dHash
|
b47ca0e870f8fcee |
|
VISUAL
wHash
|
001e3e3c3c3e06ff |
|
VISUAL
colorHash
|
02003048040 |
|
VISUAL
cropResistant
|
7c20b0e860f8fcee,c0e0e0e2fc9ba393,947ca0f8e860f8ee,100c32b2b20c1000 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.