Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EEB275B2A168B57300D382E5EBB5376BB6A78289E987020543FCC3AC4FD5D94FC63554 |
|
CONTENT
ssdeep
|
384:sRKr8DYemXkR3qCKuIMha+0BbKiAibt/CFUM:mDYem0p3QKib4FUM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
875c38a5c5c53e33 |
|
VISUAL
aHash
|
02000c7876776761 |
|
VISUAL
dHash
|
9424d8c4c4cccfcf |
|
VISUAL
wHash
|
02000c7e7f777747 |
|
VISUAL
colorHash
|
30006000080 |
|
VISUAL
cropResistant
|
2c24d2d296932329,9424d8c4c4cccfcf |
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 24 techniques to evade detection by security scanners and make reverse engineering more difficult.