Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19E23D734E251092E529786EAF4A1B7BDD1ABC70FCF479D5CF3AC929717CAC508E61280 |
|
CONTENT
ssdeep
|
768:1KuXxKbJIi5qeFbZsb4nbSfbsxbeDbT/hAOPNwB4fXMRb7lzQ/AtzgEtufhPSVm4:Qlyu3K27f |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8a77a8568bd92666 |
|
VISUAL
aHash
|
1c18003c38001819 |
|
VISUAL
dHash
|
3533456b6915b373 |
|
VISUAL
wHash
|
ff1931393901193d |
|
VISUAL
colorHash
|
38001400208 |
|
VISUAL
cropResistant
|
64c4c62658040a01,b533456a6b15b273 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)