Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13812B470341C7E3B878B89D8B6E6AB0A35C9C249C6E70606D7FD83AD4EE3C55DC69240 |
|
CONTENT
ssdeep
|
192:laljz1rwhn7hn26IYqTpLxboY5AaJx84Q2250Wshv4PPpPp2+XPpDpGpW:Wrgd26ItTBJ6anBF2p4k |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b331cc6666ccd931 |
|
VISUAL
aHash
|
e7c3cfefe7ffffff |
|
VISUAL
dHash
|
0c1c104c4c280400 |
|
VISUAL
wHash
|
c0c0ccfcc0c0cccc |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
0c1c104c4c280400 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.