Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11EB2A8B288E47935134697CB977BB727B192C045C602A1C9C5E353A83AEECD0EF5AD1C |
|
CONTENT
ssdeep
|
192:F0HogbVH3wZpjDS6KiWE1m4FYnm4GD8xIGdOm4QCmA0m4P:F0HogBiZXPqQ8WGdEQUmP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c63929b496c59c3b |
|
VISUAL
aHash
|
0000187e3c7e3c3c |
|
VISUAL
dHash
|
ecf0d0ececd4d4e8 |
|
VISUAL
wHash
|
02003c7e7e7e7c3c |
|
VISUAL
colorHash
|
01000000c00 |
|
VISUAL
cropResistant
|
82a459596733d4aa,71cdcc963333d4c4,ecf0d0ececd4d4e8,cc9ecca41527e719,de475143cd4c8d1a,c10d19db27e7e7e1 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.