Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AA61A73160204D3F21138155FC97729CD59EC20FCE9AAD14FBAE92A939C2ED5C176223 |
|
CONTENT
ssdeep
|
96:TGm7U+M86Nz+MGMP1J8313cUwgc7WnW4AL:am7U+Xbd3cZgc794AL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a8506873533dd5ae |
|
VISUAL
aHash
|
0000ffffffff87ff |
|
VISUAL
dHash
|
82a6961ae8475725 |
|
VISUAL
wHash
|
0000dbffffff0101 |
|
VISUAL
colorHash
|
0e1c0010000 |
|
VISUAL
cropResistant
|
a69619c580577725,008292929200a0a0,a7a723273735355c,6565660a2a6a6746,aaaacec9a9293517,9a1951424a425654,e9695494b4d6ce4c,e2e2ea4a5a4a18b4,a54544697414868b |
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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.