Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DF323E33A600DC6A4DAB55DCF2C09649515EC34AFB3148CAB2A481FF7BC0DF069997AD |
|
CONTENT
ssdeep
|
192:JS3JPScBcC3iRZQHutavaass3+McnthWeNWbqiLecfMmUU8VCoKA:zcBcC3lutpG3recfMmUFCop |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e626d998dc266789 |
|
VISUAL
aHash
|
e7ffe3e3fffffffe |
|
VISUAL
dHash
|
2e084c0c00080000 |
|
VISUAL
wHash
|
85e3e3e30f0f0d0c |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
2e084c0c00080000 |
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)