Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19DF1C6F29220875E4582D2ACEF63F090938ED0AFE256DD90D79E97B404EBCC0F556910 |
|
CONTENT
ssdeep
|
192:a6GuEBnteThz3VIuDNLOjywAcQSyUZxBcFL/W:1nDNS2NjaNcFK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a4607859593bf5a6 |
|
VISUAL
aHash
|
0000ffffffff87ff |
|
VISUAL
dHash
|
82a6863af0575725 |
|
VISUAL
wHash
|
0000e7ffffff8100 |
|
VISUAL
colorHash
|
0e180008000 |
|
VISUAL
cropResistant
|
86863bf3a8577725,008292929200a0a0,8d5555557577761a,5b8aa78787a5b41a,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.