Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11EE1E6F76220861D4582D1A8FF62F090C24ED09FE766DAD0D7AE8BB444E7CD4F516950 |
|
CONTENT
ssdeep
|
96:b6kAHH1M1lZDp3UOIHKaIiV8g2+3wehaBQ8VjKx3NuZkTmB0qMcSPWSic/Coa:b6kAHVMb3dIqaLqjywAcQSyUZxBcFL/W |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a4607859593bf5a6 |
|
VISUAL
aHash
|
0000ffffffffb7ff |
|
VISUAL
dHash
|
82a68612e8575725 |
|
VISUAL
wHash
|
0000e7ffffff8100 |
|
VISUAL
colorHash
|
0e180008000 |
|
VISUAL
cropResistant
|
868631e990577725,008292929200a0a0,8d5555557577761a,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.
Pages with identical visual appearance (based on perceptual hash)