Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16D23B83158C45A2B169382C4F3509F1BF3D99244F3BAD59AF2D6C71B06C6D49C836BAC |
|
CONTENT
ssdeep
|
768:cjRQk7bEVARQeGtArw9fZO/+pa7yXu8kTX+aehV6vNWEJWb:cjOk7bEWRQeGt0ChO/+w70aCMvNWEJWb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9416ebcac9fac894 |
|
VISUAL
aHash
|
fd0606060606fffb |
|
VISUAL
dHash
|
61ccccccecec3b73 |
|
VISUAL
wHash
|
fd0606060606fffb |
|
VISUAL
colorHash
|
0e0000001c0 |
|
VISUAL
cropResistant
|
0021896161890152,96d6e8b284710f8e,e018380b73335343,ccccccccccececec,5d8fc6decec647c7 |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)