Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1486276321126AE1D3912E2C9E5C3355EC2C7C24BE6F60235F2E549AE63F2E74B14571E |
|
CONTENT
ssdeep
|
192:5u/9O/U0+siSMG4hbvq4VQDh+8J/vak7k:5u/40qeE/ZA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3734c4cf333494c |
|
VISUAL
aHash
|
00ffffefff0000ff |
|
VISUAL
dHash
|
cc001c4c00103000 |
|
VISUAL
wHash
|
00e3c0c0303000f0 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0c08141c4c001000,0000000000000000,0000c0d0c0400000,000820b2b2001000 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)