Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C0E176E1C504DD37072286D6FBF52B5BB6D1C359CF060A8493F842AB97CAC70CA1669D |
|
CONTENT
ssdeep
|
96:Tki7moh4lzH0XfeGUEdt7+0wvF2eZX8HFdehXWz/e5t73qQPJ:Qi7moh4lzH0X1UEdU/2mQz6NqQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed6d92926cd2524b |
|
VISUAL
aHash
|
c0c3c3c3c3ffffc3 |
|
VISUAL
dHash
|
06061717333a2816 |
|
VISUAL
wHash
|
00c1c1c1c1ffffc3 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0717171733182816,4d5d535353531a9a,8080000404000000,0000302a22706159,466979710694d4d4 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.