Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14B93AB27422935274477C2C1347A5B3BD1B6999BFAE70A000EECCBFB6BF9C90745A119 |
|
CONTENT
ssdeep
|
768:bbrQtpR4nXF6YjOpSpFlTC6rr7XcNSEZF/+smp0PQk:bb8tpR4nXBKpSpFl26vrHc/+2PQk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e20db73b11e1e60d |
|
VISUAL
aHash
|
4000707018f5f1fc |
|
VISUAL
dHash
|
8a32e7c3900d0549 |
|
VISUAL
wHash
|
c200707078f5f5fd |
|
VISUAL
colorHash
|
31600010000 |
|
VISUAL
cropResistant
|
8a32e7c3900d0549 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.