Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13E337C77A7357DBD53CB41EEFB3C6946B2C14498E88A8410B5CC969E13C7CC1628ABB4 |
|
CONTENT
ssdeep
|
1536:ay+EsZ/8EmQDVRcMjBxREMjB+DrpRXPZlQaQD9OehM+BrUgq4z:anpmIRXRcDrpR/PkEeDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf634660f1709c3c |
|
VISUAL
aHash
|
81038f8f8f9f9f9f |
|
VISUAL
dHash
|
4d673f3818703c74 |
|
VISUAL
wHash
|
8103078f0f9f8f1f |
|
VISUAL
colorHash
|
07200030000 |
|
VISUAL
cropResistant
|
4d673f3818703c74 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.