Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10C123F23B600DC2A8D9B568CF6C09949411DD34AFB3148CAB1B481FF7BC4DF069997AE |
|
CONTENT
ssdeep
|
192:Z93J6r9dxWNZeZxto6xiOMcnthWeNWb5HfMmUU8VCoK+:crjxWNsqTfMmUFCoh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e969e36cb4283c36 |
|
VISUAL
aHash
|
c1b99999999999ff |
|
VISUAL
dHash
|
032b33333b33330e |
|
VISUAL
wHash
|
81999999999981ff |
|
VISUAL
colorHash
|
06181001000 |
|
VISUAL
cropResistant
|
032b33333b33330e,c9b989e8a8889889,c0d2edfe1c48a260 |
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.