Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T162C29531A100263F0197C3C9B771B72EAAE3D289DB47090656FD839D4FE3E90DA1756A |
|
CONTENT
ssdeep
|
768:2SCy5NFupG5sFLR7lHnj7sOy2+y9BH4crIe:+pGq757sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc3adc28c3c5 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
0c49c2c0c9c9e500 |
|
VISUAL
wHash
|
80fd6030240cffff |
|
VISUAL
colorHash
|
39038000400 |
|
VISUAL
cropResistant
|
0080802058d08000,0c09c2c8e0c9e9e5 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.