Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T177A3AA33415935274437C6D430AA5B3BE2EA994FFDA70A010EECD7FA1BFAC90745A11A |
|
CONTENT
ssdeep
|
1536:uVlCLz4NP/y9svbliCdXgBUNFtgbuCa2YG2AJHq:uVCmAET |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c36abc3aad68d342 |
|
VISUAL
aHash
|
00002000000024ff |
|
VISUAL
dHash
|
d1c8c8c2cac8ccec |
|
VISUAL
wHash
|
006cfc70302c7eff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
0000c0814c4c8088,d088c8c2c2c8c8c4 |
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.