Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A38410B24240109E0BC3FDC1A8A27F579173CDEAE55FACCD91BC59882EC1BA2D4D16E5 |
|
CONTENT
ssdeep
|
1536:htYRunOeIY701LtszB7Ss7zs7Vw76m7QE7FOP7MMZSRunOeIY701LtsbB74s7Jsf:RA8888884 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7c618313e3ecc3c |
|
VISUAL
aHash
|
0070f0f5a470003c |
|
VISUAL
dHash
|
49c0656d6cc7c7f0 |
|
VISUAL
wHash
|
8070f8ffe7f0203c |
|
VISUAL
colorHash
|
39002018000 |
|
VISUAL
cropResistant
|
cececce6e2939726,c585cd91b9759599,49c0656d6cc7c7f0 |
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 221 techniques to evade detection by security scanners and make reverse engineering more difficult.