Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10942123241366A5E36316145A5823D8DC187820BFEEEC33DF9E7482D62F197064DE72E |
|
CONTENT
ssdeep
|
384:EuxbT2mmCC36OgG+HSxiO37Sm7fHrJtOWVT1bS6fZxkaDWbXjvia/xYWbXjKj:EuxbimmCC36OgG+HSxiO37Sm7fHrJtOY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e36363c949494d67 |
|
VISUAL
aHash
|
00ff00ffffffffff |
|
VISUAL
dHash
|
cc08683000000000 |
|
VISUAL
wHash
|
00e700df00000000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0c0c080c100c4d0c,0000000000000000,0000c0d0c0400000,000004b2b2000000 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.