Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D752A639524ADE3F53C387E9E738332E2395D282D95B0B45D6F0861C4EC1E5DEC5226A |
|
CONTENT
ssdeep
|
384:wVmqEOwxA6FAfj++A9ORagVNDwvwSOZM7gV0:ylwr2fjdCOYtSV0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a2777122774e085f |
|
VISUAL
aHash
|
00e7ffe7ffff7bff |
|
VISUAL
dHash
|
0f0c070c0ca5ab80 |
|
VISUAL
wHash
|
00c3c7e7f70900ff |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
0f0c070c0ca5ab80,0888c989cc120d0c |
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 1 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)