Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T138A39A33411975274437C6D430A95B3BE2EA9D4FFAA70A010EECD7FA1BFAC90745A11A |
|
CONTENT
ssdeep
|
1536:2YLz4NP/y9svbliCdcpaNaPWFtGuCa2XG2As:9mA/vPL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c36abc3ead68d142 |
|
VISUAL
aHash
|
00006000000024ff |
|
VISUAL
dHash
|
91c8c0c2cac8c48c |
|
VISUAL
wHash
|
0064fc70702c7eff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
000080814c4c8088,d48cc8c2c2c8c8d4 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.