Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16C144660605468F759270BB4A171AE3AA1DF811DDA82D879DEDF42901FE7CF0E83EB14 |
|
CONTENT
ssdeep
|
1536:tUUgemFlmIOmacl4s9LQYOQIJ7GyXdFn2LXcvTGBW2bhG71toeeecb5ljZCJE+pO:Hmon2nJw6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99632696c9cb7592 |
|
VISUAL
aHash
|
2000c8781e1f3d18 |
|
VISUAL
dHash
|
c13090f1f8f6f172 |
|
VISUAL
wHash
|
fd00c8783e1f3f18 |
|
VISUAL
colorHash
|
31202000180 |
|
VISUAL
cropResistant
|
30d0e070b9dce6f7,c13090f1f8f6f172 |
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 106 techniques to evade detection by security scanners and make reverse engineering more difficult.