Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18C24B57970A1B537063FA1CAE8D01B6D60F2EA3DCD671848E6FC43BC27D6D59B282449 |
|
CONTENT
ssdeep
|
3072:SlA0wqT+J5UFmgij5GzRT9rJhCINq8H8DY0GVmQrR+KKOBn2DaaRXH7HQWo8CtQi:S9vtQJw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b9ceb290ce69cc32 |
|
VISUAL
aHash
|
e3c7c3c3c7cbc7c7 |
|
VISUAL
dHash
|
0606261316161e1e |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07402000040 |
|
VISUAL
cropResistant
|
0606261316161e1e,3030705474746c70 |
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 536 techniques to evade detection by security scanners and make reverse engineering more difficult.