Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15D3331316089BE2B41CB55D69177172663F5834AC7271688BAFCC7EA0FDBC28EA33145 |
|
CONTENT
ssdeep
|
384:0QxWHsJO5xVZjqTSOXBxKTAmNV8k6kDAPy33NMHl3MQI+4sPNMHl3MQT+4sPCCCG:0iWHsIx/jN+VkGyvRM93jSjOUf7sTMUF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d343e0acbcb8b8e8 |
|
VISUAL
aHash
|
ff20000028ffffff |
|
VISUAL
dHash
|
4cc84868c93e181a |
|
VISUAL
wHash
|
ff00000000ffffff |
|
VISUAL
colorHash
|
11000030000 |
|
VISUAL
cropResistant
|
00b0b626640048c8,e8a969e9e9e9f9e9,1093d140321093b0,c02018181819181a,c848c8c848e868c8 |
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 90 techniques to evade detection by security scanners and make reverse engineering more difficult.