Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T180121191C440552B121204C57627EB4B35C393818F77088426A943AB7FEFBE1ECAF3EA |
|
CONTENT
ssdeep
|
192:DwQcvg9xiIRD9Imk23LAaS8zDuJ4wz3pj07Mg1t:DwQeOF43pjOMg1t |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed6d4d32121a365d |
|
VISUAL
aHash
|
00c3d3ffe7e7ffff |
|
VISUAL
dHash
|
361212180e0d0014 |
|
VISUAL
wHash
|
00c3c3c3c0e4e4fc |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
121212180e4d0004,0000001010101000,0202415250184840 |
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.