Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T176D11FE0C015ED3B4763C6D9E7B56B1F72A1C349CF06094453F853AB6BCACA0CA625E9 |
|
CONTENT
ssdeep
|
96:TkkC7QzH0XfeGdVZSZkTGpFlWXSHFb0KXbz/OYfQpR:QkC7QzH0X1dg2G/XzW+QL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b34d4ce6261999 |
|
VISUAL
aHash
|
ffffffe7ff000000 |
|
VISUAL
dHash
|
0c0c0c0800000000 |
|
VISUAL
wHash
|
e7e7e7e7ff000000 |
|
VISUAL
colorHash
|
072010001c0 |
|
VISUAL
cropResistant
|
0c0c0c0800000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.