Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T123F143B1E050DD370B5381D5B7B67B2F76A1C245CB020A6423F853BA6BCFDA1CA2259D |
|
CONTENT
ssdeep
|
96:Tk5H9zYte9STx8v67/DLty7BvIqqF+WXPHkdOX+z/UHNSTy+AT431:Q5H9zYtBt8ibg7BQj0zFw8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aa2895f5677b02e4 |
|
VISUAL
aHash
|
ff5f0000e7ffff7f |
|
VISUAL
dHash
|
49b09569ae0c30c8 |
|
VISUAL
wHash
|
ff5f000003f79f07 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
49b09569ae0c30c8,0131717131012163,2303636373b392bb,93d3e32161652426,7595959551019505 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.