Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C8A3C6B12080B6BB80CBA3C59632576973E64394CF024649F6F4D3E96BDFC69CD27648 |
|
CONTENT
ssdeep
|
768:HjsIx/jp4V9Jkedq9ACMedHedxFedged1Ledued+edLwaWbyLaRlVjduaedJed6n:DsIxE9JqUc6waWbyLaRlVjduPsa7L |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e299ece99aea490a |
|
VISUAL
aHash
|
ffff000400c0e1c0 |
|
VISUAL
dHash
|
6b7c58dc5d8383a5 |
|
VISUAL
wHash
|
ffff040405e0f1f0 |
|
VISUAL
colorHash
|
32600030000 |
|
VISUAL
cropResistant
|
f333cb746e6cb0f8,189098690949656d,8010446d2c800080,353531bd8d25a525,d8d8ccdf948385a5 |
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 50 techniques to evade detection by security scanners and make reverse engineering more difficult.