Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16E61C9581CC05A7F1527C9B5EC46B3C986E9E60FC6D6F878F36592E511CAEC4C0A3211 |
|
CONTENT
ssdeep
|
96:bmhUkO0QRESKX0QRTM0QRsJZe13WuErmefL:bmhUkO0NHX0mM0g3dErRL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a87068595939f5e6 |
|
VISUAL
aHash
|
0000f7ffffff87ff |
|
VISUAL
dHash
|
82a68632e8475725 |
|
VISUAL
wHash
|
0000e3ffffff8101 |
|
VISUAL
colorHash
|
0e180008000 |
|
VISUAL
cropResistant
|
868633e188577725,008292929200a0a0,8d5555557577761a,5b8aa78787a5b41a,6565660a2a6a6746,aaaacec9a9293517,9a1951424a425654,e9695494b4d6ce4c,e2e2ea4a5a4a18b4,a54544697414868b |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)