Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F27384720182AA3F118341D1AB9CD359E382DB4AC7674987D7EC431F6BD6DA0ED391A8 |
|
CONTENT
ssdeep
|
1536:2I49VulDc3y0K4fxs6+y30z4GsBdbQ0wxVuz8sl:Kxql4dLBl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2506cbe96d6b6b0 |
|
VISUAL
aHash
|
00003c7e7effd1ff |
|
VISUAL
dHash
|
cc93c8d0cccc238e |
|
VISUAL
wHash
|
00003c7e7effd1c3 |
|
VISUAL
colorHash
|
07010000e00 |
|
VISUAL
cropResistant
|
ccc8d4cccc236686,848be993c0c8dcd4,4561417971690141,17496969696995a5,00454d7171414541,49c246b2aa824c4c |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)