Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T133E2663C70837C1AA837C6D0F4915F44B057DF36C2685F58F3A81659ABCACEAAE26714 |
|
CONTENT
ssdeep
|
768:+NLG0k8Q6Kl/Nlz0l7flr2l7IlyJrhnuX0KIj9FZBL3L3L3L3LFrCtTzhBeC3L:ahQ6Kl/Nlz0l7flr2l7IlqrhnuXBIj9C |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c46464449c9f9bdb |
|
VISUAL
aHash
|
0000ffffffffffff |
|
VISUAL
dHash
|
a4840084808080a8 |
|
VISUAL
wHash
|
0000a57e7e7e7e5a |
|
VISUAL
colorHash
|
07006000000 |
|
VISUAL
cropResistant
|
a4840084808080a8,a4a6363636a4c684 |
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.