Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17FF1F0318610B01F9BE769E5F0037A7AA37AC255D32146B8237852D74FDE9F0987238E |
|
CONTENT
ssdeep
|
192:hKtpOA4vtGbovnYi4lXZkCo+n+LHnlr67MxDc45aDj2ODhdDC+kbqP:MyQboUpk2+LrQDLhkb4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b331cc66cc9963cc |
|
VISUAL
aHash
|
efc7c7c7c3e3ffff |
|
VISUAL
dHash
|
9e8e5e9e8e8e6868 |
|
VISUAL
wHash
|
c3c3c3c303032727 |
|
VISUAL
colorHash
|
06e00008000 |
|
VISUAL
cropResistant
|
9e8e5e9e8e8e6868,bfbe393b7be28696 |
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 116 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)