Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13CC242310084A9BB9207F7D4B7726F1E32E0A245EF4795405BF05B9A8EE7CA1CD6F252 |
|
CONTENT
ssdeep
|
768:OqRZxWWCF9cFcucIcsofc7UwphU1aDLQgeYx9ZXjM0Z1cjLQer6zjVK0pZsIJQb2:OQQgeYU3M |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99e6a498a198e6e7 |
|
VISUAL
aHash
|
ff10381c1c1c1c3b |
|
VISUAL
dHash
|
69f1617979b1b1d2 |
|
VISUAL
wHash
|
ff18381c3c1c1c7b |
|
VISUAL
colorHash
|
01000000180 |
|
VISUAL
cropResistant
|
1669292b29696661,c9c91b72736bac8d,947434a4ccccec29,2c2ecacaea8a889a,71e1615979b1b1d2 |
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 484 techniques to evade detection by security scanners and make reverse engineering more difficult.