Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T198021031E4C4253F039312EE5A70BB54B3E34143CB265615E2F2865F6BF6E819C0AA6E |
|
CONTENT
ssdeep
|
96:TmXnM7vKXwoT0h5kX5GiujHVHHV6HV7HVBHVfk7J0Lu0JClyHJavwXogJIbZ2/0+:MnkvM0zYubVnVMVzV9VfC90MlEhmD8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
91e16eadc992926d |
|
VISUAL
aHash
|
10000e0f0f0f0630 |
|
VISUAL
dHash
|
637e98d85a5c1c60 |
|
VISUAL
wHash
|
bd084f2f0f0f0e3c |
|
VISUAL
colorHash
|
396000000c0 |
|
VISUAL
cropResistant
|
fca4a4b2b2eac7c3,0000000001061801,60c4c48480828281,637e98d85a5c1c60 |
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 1 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)