Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BA8386727204A53B41A793D687726B2E73D1D24ACA632B1593F9832C6FC3DE8EC27145 |
|
CONTENT
ssdeep
|
768:NbexK44aVR7VAs65np2WWegJsEu2cP4b66khwjIV1vnz7FO:N44OH6nWegJsEu2uF6ZIV1vnz7FO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dd5893c2c4b25a2f |
|
VISUAL
aHash
|
7c388890b0fcffff |
|
VISUAL
dHash
|
e07232347261cc6a |
|
VISUAL
wHash
|
3c380880b0f8fffe |
|
VISUAL
colorHash
|
07600000008 |
|
VISUAL
cropResistant
|
e07232347261cc6a |
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 25 techniques to evade detection by security scanners and make reverse engineering more difficult.