Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13DF2D630935047633253A2E476B28B7D73052041CF232A98E7F5E356DADBDF2CE2A596 |
|
CONTENT
ssdeep
|
384:nAhJkpJLJ4LfyMW897lYqS0r7xG5vCVQ310AV90Bbelhlu0:AhupQ97+qrNGR30Bqu0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c16c3c376191cec7 |
|
VISUAL
aHash
|
4200746e682e0e00 |
|
VISUAL
dHash
|
9690c4cac8cc9c98 |
|
VISUAL
wHash
|
76007e6e7e2e4e44 |
|
VISUAL
colorHash
|
390000081c0 |
|
VISUAL
cropResistant
|
3939b6641594295b,2b6b4c1191b195d5,31d3c3cdcca95a5c,2a2acbc9cdcc0c29,9690c4cac8cc9c98 |
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 486 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)