Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17B610421C2259C0BA11291A5E7B0DF1933858786D3834A18DBE4267FF98EDE09E361CF |
|
CONTENT
ssdeep
|
48:sDE48cY5qaZSvLf+l3beexXFwSftH5TAEcPxHkU7hSwS4+iIHQbSbZs+Bx:88nSvT+l3bRJ4HhhSeI7bZs+Bx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc333399cc6666 |
|
VISUAL
aHash
|
0018181800000000 |
|
VISUAL
dHash
|
1030b2b210000000 |
|
VISUAL
wHash
|
fcfcfcfc00000000 |
|
VISUAL
colorHash
|
38007000000 |
|
VISUAL
cropResistant
|
9200100c4d5c80a2,1030b2b210000000 |
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 23 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)