Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16C635532D3931913907BC2D8B072478E2251868DC7574F79A7BE63BAF9CFCB56612248 |
|
CONTENT
ssdeep
|
1536:kAfRQ0eeZee9khpzyseuek57rl4pTeM0eHde4e1rS1tFA2oeeeddehQRsgHeQo/f:s757rl4p1/FRP/mDkOEq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d26d6d69169394b2 |
|
VISUAL
aHash
|
40c0fc4646feee7e |
|
VISUAL
dHash
|
9283ac8c8c8cdccc |
|
VISUAL
wHash
|
4080fc4644fcec7c |
|
VISUAL
colorHash
|
03000038000 |
|
VISUAL
cropResistant
|
89a196d68686cec6,000103061c3a74c0,4c06b99939b97939,32929292408d8588,33b33329b4f4342e,0144052304017164,112a67d5f0e9f161,420103061c3a70c0,9793931323271b3b |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.