Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ADB31AB091841A23E4A39393D7B077E311F790D8D8F6841068B9C6D697F8DCA953B3DA |
|
CONTENT
ssdeep
|
1536:N44Iy1BMLy44zT740j8jg8SE8A+8Ds8VG8j48+x8MS8gL8NYIm89f8qQ83T8MC8E:lUbs9A83nBa |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6ec9b3991858c97 |
|
VISUAL
aHash
|
e0f0f2724000063e |
|
VISUAL
dHash
|
9327e6e6868f5c58 |
|
VISUAL
wHash
|
e1f0f2726303273e |
|
VISUAL
colorHash
|
30011000000 |
|
VISUAL
cropResistant
|
9327e6e6868f5c58 |
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 154 techniques to evade detection by security scanners and make reverse engineering more difficult.