Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T122F384B17901653534AF52DFD2271B1D22C1E7CEC7855AE9A2F04378ABF1C90BEA12D8 |
|
CONTENT
ssdeep
|
1536:AHyVSqaIPmmZgzSygTx2ckx1NZjlfzS7IPmmZgzSyGT0dvNjxNZjlfzS/RIPmmZm:2flX33we89gA9SFuXVXHX6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f451d4d94cd96631 |
|
VISUAL
aHash
|
7ee7e7ffc3c3ffe7 |
|
VISUAL
dHash
|
e04d0c961717500c |
|
VISUAL
wHash
|
7ec3c3c38181e7c3 |
|
VISUAL
colorHash
|
070080400c0 |
|
VISUAL
cropResistant
|
e04d0c961717500c |
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 768 techniques to evade detection by security scanners and make reverse engineering more difficult.