Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14FC29871A100273F119BC3C6B7A1B72EE2E3D249DB4A091652FCA35E4BD7E94CE13526 |
|
CONTENT
ssdeep
|
768:XSCy5N3+7CvJc5R8PfYLlfyAAQZ7sOy2+y9BH4crIe:x7Ci8SIe7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9363f53acc2c94c5 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
0c49c2c0e9c99d00 |
|
VISUAL
wHash
|
80ef3010340cffff |
|
VISUAL
colorHash
|
39038000400 |
|
VISUAL
cropResistant
|
0080802058d08000,0c494ae0c0e9d909 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.