Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F4531A992452702A476380E384BB1B89B3391C1FF92D05E195B8CBE572A9CF4316FB5F |
|
CONTENT
ssdeep
|
768:KyWuPs/HWujy/ucG1/fM1sZBzSL5MX8U89duHduIEXQ7TU8BdAf5WrI9pol4T/xd:9QPBUGyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c13ac594bbc5926d |
|
VISUAL
aHash
|
7e000000007e7a7a |
|
VISUAL
dHash
|
d8c0c3c0c8d4c2c2 |
|
VISUAL
wHash
|
ff206060007e7e7f |
|
VISUAL
colorHash
|
3a000e00000 |
|
VISUAL
cropResistant
|
0000000000000000,8280c1c99dc4c2a2,7436230323a32121,d8c0c0c0ccd4c2c2,6f4dcdd25ada9a9c |
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 701 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)