Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B8E395A0F1BC667F1153C2A5314A27AAB1E5C229CFE706E4B7EDC2761B8DD44FE05242 |
|
CONTENT
ssdeep
|
3072:Kj/j5n0McM88gUgcEoEAo4QQwUz76IAxB1dFN5BRK7AtJNxBu7y:Kj/j5n0McM88gUgcEoEAo4QQwUzGIAxP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3a6bc0d83b4bca9 |
|
VISUAL
aHash
|
ffffff000000ffff |
|
VISUAL
dHash
|
666000c4d2c02000 |
|
VISUAL
wHash
|
ffffff00000000ff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
6640c0e410000000,3020000000000000,ccc0c2dad0c06420 |
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 68 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)