Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10B63747211826B3F2183C6D19754E7A9D3C2D20AD7274987EBD8832F66C7DE1DC6A138 |
|
CONTENT
ssdeep
|
1536:n1ohaaDS5cxQ0Ew0EJ8zqzg0vS9UTbrpxz05tcxVur8i/4:mxBKQHKDK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2522cbe96d496bc |
|
VISUAL
aHash
|
00003c7e7efff1ff |
|
VISUAL
dHash
|
8ccbc8d0cccc238e |
|
VISUAL
wHash
|
00003c7e7effd1c3 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
c8c8d4c8cc238e96,848fc9cbc0c8dcdc,4501656171714151,0145557151454580,884c581c4cc88d62,61ca4d6d4d3a0a43 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.