Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F062F9348048DA3741A3D1E9A7722B1F32C5C38ADE8B2B1613FA839D5FCAC81DE65655 |
|
CONTENT
ssdeep
|
192:4xHcnAgPHj3HoLnWwWXP2DFBMby3NG47yzhfOD0bW8RUveF8qb8Xn4/xI+:FAgPHj3HozWwUP2DFEB4uY0Aqz5P |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec0ed9b1f18656a1 |
|
VISUAL
aHash
|
381000f7c3c3c3db |
|
VISUAL
dHash
|
f071692f16969696 |
|
VISUAL
wHash
|
3e1000ffc3c3c3db |
|
VISUAL
colorHash
|
03000000180 |
|
VISUAL
cropResistant
|
f071692f16969696,0105010505010505,8484c00444446444,4d92924cb6cc924d,4d92924db64c92cc,4dd2924cb2cc924d,000a070707070a02 |
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 214 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)