Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T102A25272A606683B6257D5D4F2709B1F3283C346CB431B5173F8A3999FCECA4ED62294 |
|
CONTENT
ssdeep
|
384:2rHKB9KcpkE4wXfAYBf+mkzViVi/PpUAP2UMO+eH99hGbzSG+txJ+uSEFRALSx7I:C24wP7Bf+mkR2GRleVO+eH99hGbzSG+Q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7303034cdcfcb96 |
|
VISUAL
aHash
|
00003c3c3c3c3c3c |
|
VISUAL
dHash
|
cc8cf0c0e4e0e0e0 |
|
VISUAL
wHash
|
00023c7e7e3c7e7c |
|
VISUAL
colorHash
|
06200038000 |
|
VISUAL
cropResistant
|
cc8cf0c0e4e0e0e0,432c8c9d8c8c4d57,00000b0b0b0b0b00 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.