Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EB91603451255EBF5287CAF4B9A1BF2A74CDC38BD6278419F6F852AA2BD3C11CC15260 |
|
CONTENT
ssdeep
|
96:TwufrpM91vXXUXXy69JJRDRKUXs6ag534Eii4hDdhQp0T:cuzpMfvXEHy69JJRnshn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc59b723c9189c4f |
|
VISUAL
aHash
|
f0fc1818980000ff |
|
VISUAL
dHash
|
108032b33377e48c |
|
VISUAL
wHash
|
f8fed8d8990000ff |
|
VISUAL
colorHash
|
02602008000 |
|
VISUAL
cropResistant
|
82c0580e8ece0d4e,3070707030b0d8d4,a6090c08100c0c10,108030b23333eee2 |
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 36 techniques to evade detection by security scanners and make reverse engineering more difficult.