Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A8933BF0B6C4FC1248B750C1B09BD785B3B6111BFB980EA0798DDAD673DA87702A7169 |
|
CONTENT
ssdeep
|
1536:VoyW8M4Auy6K7OQ2rGRhv43A1wVFMefzQ2N0msQw:e6MCVw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d11be426d9e22dd4 |
|
VISUAL
aHash
|
ff0c080c0800fcfc |
|
VISUAL
dHash
|
8619d9d91ac68494 |
|
VISUAL
wHash
|
ff0c287c0800fefe |
|
VISUAL
colorHash
|
38000208030 |
|
VISUAL
cropResistant
|
27363e1e1e3c99f2,926464328071718e,b8962f6fb6d4ccb7,f1ccce8686ccccc6,d6e9cc8cccc84a5a,8619d9d91ac68494 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.