Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T159E2EA70529D24EE0241F01BDD14BB0E79EA41FEBF2B271215B46DBF39F2424CA7960A |
|
CONTENT
ssdeep
|
768:cyOcVIYVajVaNQBq84LyY3Cdw270zaDMnhJkYPV3pg7/7fHyQVZ/IkE0wD3nxsY6:cyO3zXSvhJbVavvBHIkVwD3pu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9397692ce16c61f1 |
|
VISUAL
aHash
|
607e7e3e6e040060 |
|
VISUAL
dHash
|
dcccd8d8d8dcc1c8 |
|
VISUAL
wHash
|
627e7e7e7e0c0068 |
|
VISUAL
colorHash
|
32000038000 |
|
VISUAL
cropResistant
|
681b99e4ab1f52a2,9b486420b9d9dce6,dcccd8d8d8dcc1c8,cec6840f6fa5a3d3 |
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 62 techniques to evade detection by security scanners and make reverse engineering more difficult.