Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11B33C7B5834471BF81D356E0EB3D27A6F3E98449C6510288CBFD821D6A8BED2DD33568 |
|
CONTENT
ssdeep
|
768:JehBOcGZAWL0Q2IChnrn6sMx7aT/nT0r+oGU6sAqyJsC46VNUzcdcWp9:QhBOcGZw7pDT4aXU6snQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
912b6a86876a6b8f |
|
VISUAL
aHash
|
011e087e7e3e0008 |
|
VISUAL
dHash
|
0bbabaf8f0f2b4db |
|
VISUAL
wHash
|
015d4c7e7e7e1e08 |
|
VISUAL
colorHash
|
0f0000001c0 |
|
VISUAL
cropResistant
|
68d4ccc835348609,0bbabaf8f0f2b4db |
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 1 techniques to evade detection by security scanners and make reverse engineering more difficult.