Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AEA3843865E1237745575BC12271970BB2CBA64DEA03CA4993FD8B8AA7CECC0F434E95 |
|
CONTENT
ssdeep
|
3072:65qYiubg34iscGV9lqtvxTrAAJO3jtG3Q4iJJHFdXugPtDasRIAltRRJURTKjw85:65qY234dcGvlqtvx/AAJO3j6Q4ifHFdN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cdb748b00acf37c8 |
|
VISUAL
aHash
|
fffebfbf7ffff800 |
|
VISUAL
dHash
|
c0ce4e78ccd81331 |
|
VISUAL
wHash
|
7f66a60f6eef4000 |
|
VISUAL
colorHash
|
070020002c0 |
|
VISUAL
cropResistant
|
c08c4e78e8c81333,5313333010d1332d |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)