Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D98341709440D82B42D7A6D5A636172A63E6831DCA630A89BBF4C3AD4FDFC1CCE33955 |
|
CONTENT
ssdeep
|
1536:DsIxgJdS3lQCILu+lJZLlI1tYSe7lTk+Cgo79F:D0JjLu+3ZLXo7T |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
837ab47a83cb21dc |
|
VISUAL
aHash
|
000400200000ffff |
|
VISUAL
dHash
|
cd8ccac9c5c8e4ce |
|
VISUAL
wHash
|
0007267c7060ffff |
|
VISUAL
colorHash
|
39002000040 |
|
VISUAL
cropResistant
|
840000c4c0d6ee8f,c0ccaecac9c5c8c4,5364945883804041,e0e0c0e1c1a1a5a5 |
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 77 techniques to evade detection by security scanners and make reverse engineering more difficult.