Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B341633262184C3F060707D4AAD5BA0E20DFC21AC7118E58E2FCA3CD83DDFA2D896965 |
|
CONTENT
ssdeep
|
48:LpwG6FTxzDJPTxzsTNmTNMXkcVa4JM6qQUN81XJtlNA2Q+8o4:1Zk1RnJ8DqQI0XJtQy8B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d9d92633338ccc99 |
|
VISUAL
aHash
|
0018181818181800 |
|
VISUAL
dHash
|
0c32b2b2b2b2b24c |
|
VISUAL
wHash
|
f0f8f8f8f8d8d800 |
|
VISUAL
colorHash
|
300000001c0 |
|
VISUAL
cropResistant
|
8e8e96eaf633338e,0c32b2b2b2b2b24c |
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.