Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ADC2A635F040273B42A793C9B361F31EA2D3928AD74A0D1543F9975D8BFBE90C92356A |
|
CONTENT
ssdeep
|
384:rcFe/y5NuK22X0rjtMHwmc+fLyqZW06S9gIIYsOy2+y9BH4cCUIe:AFe/y5NuKs7+fPZ7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c367fc3a990cc683 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
144cc4c2cccdd300 |
|
VISUAL
wHash
|
00eef6302400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0080800458988000,940ccce6cacccde3 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.