Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10D62B47480A8AD322AF2C2DD6A76675DBA81878DCB830B4882FCC35D2FC7DE5DE55141 |
|
CONTENT
ssdeep
|
192:blgfHtZB4cyyJrAwBlxevgNthfRVBGXfL1K+ox0VmB+eK9RpQ8awX+:EZiqrfj0ohfIRKYVs+eK9RpQ83X+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3cccc338ccc3339 |
|
VISUAL
aHash
|
ffffffefc7c7efef |
|
VISUAL
dHash
|
0c1c001c8c8c1818 |
|
VISUAL
wHash
|
c0c0c4c0c3c7c7c7 |
|
VISUAL
colorHash
|
07c01008000 |
|
VISUAL
cropResistant
|
0c1c001c8c8c1818,f2f2525202a04242 |
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 23 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)