Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CA5164638108DD3B9260C0D8E570636D5ACD828E97460B59EAEC437D31DA9FADC6EDC8 |
|
CONTENT
ssdeep
|
48:G8B6lvQW2Q1RmHDQeMhzwMnpWWUf1s9cKtub8CXSL5fh6qLv:G84RdxwMiqOKtuXoNhhv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
82199927768cdd37 |
|
VISUAL
aHash
|
070f1f0f273e7e7c |
|
VISUAL
dHash
|
fcf8f0e8ecf0c0c0 |
|
VISUAL
wHash
|
070f0f1f063e7c78 |
|
VISUAL
colorHash
|
07200408010 |
|
VISUAL
cropResistant
|
fcf8f0e8ecf0c0c0 |
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 42 techniques to evade detection by security scanners and make reverse engineering more difficult.