Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ADE117F66220876E9093D16CEF63F0D4924AD0AFE252C9D0D7AE83B408D7CE8F523950 |
|
CONTENT
ssdeep
|
192:bP3hWhhg3c1YnWJGjywAcQSyUZxBcFL/W:d6QnB2NjaNcFK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a8607869513bf5ae |
|
VISUAL
aHash
|
0000ffffffff87ff |
|
VISUAL
dHash
|
82a2961ce0575725 |
|
VISUAL
wHash
|
0000f3ffffff8100 |
|
VISUAL
colorHash
|
0e1c0008000 |
|
VISUAL
cropResistant
|
a69609c580577725,0082929292008cb2,e7a723273735355c,6565660a2a6a6746,aaaacec9a9293517,9a1951424a425654,e9695494b4d6ce4c,e2e2ea4a5a4a18b4,a54544697414868b,a676565454dcc4e1 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.