Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T138A33232923A1413515FB2E8F2648B193293C78AC7534BF662B952F6BBCDCB56D1318C |
|
CONTENT
ssdeep
|
3072:CWbgwQGZg6MIi097WncUaWwABHRd2BIWJBfdq:CW7FYJ097WncUaWNHRd2BIWJBfdq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f14c3b32c9cc4736 |
|
VISUAL
aHash
|
c1c130ffc746c76e |
|
VISUAL
dHash
|
232be2d28a8a8bda |
|
VISUAL
wHash
|
81c130fbc746c76e |
|
VISUAL
colorHash
|
06200030000 |
|
VISUAL
cropResistant
|
232be2d28a8a8bda,099965f1330f2b26,97c56931f1e1a0ac,38397974d54c6267 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.