Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13CF143D1C154CD3B072386D6FBF56B5BB6D2C319DF02098493F842AB9BCEC60CA16999 |
|
CONTENT
ssdeep
|
96:Tky79oh4lzH0XfeG9EK2rOSV8pwvFceVX2HF9epX+z/J0xtgTqQPJ:Qy79oh4lzH0X19ErVDAG4zo6TqQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ac6c6993933166ce |
|
VISUAL
aHash
|
ffc3c3ffffc3c3c3 |
|
VISUAL
dHash
|
1e160616000e1717 |
|
VISUAL
wHash
|
00c3c3c3ffc3c3c3 |
|
VISUAL
colorHash
|
0e400030040 |
|
VISUAL
cropResistant
|
1e160616000e1717,4101494949494109,4101496101010101 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.