Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18341F8F56069AA2B469383C971E97357F9C2C08FC3A6004016FA433FDAF9C01CA98387 |
|
CONTENT
ssdeep
|
48:TOhtko6gU2+0TNmTNML6EDGLUoB1OhdkPz5XUIjjNXM+:TOco6t2+86JIc1SOdXDM+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3370e1f1935249d |
|
VISUAL
aHash
|
0024e7e7ffffffff |
|
VISUAL
dHash
|
34498e8e58040000 |
|
VISUAL
wHash
|
0080c3c3c0f8f0f0 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
00000000b0702080,488e8e1816100000,0010101010101000 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.