Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A8A2627123D219BB509BC3E6B261BF9EA1C8C30AD693D659F2E8C3491BC7C61DD52224 |
|
CONTENT
ssdeep
|
96:E9TCm9tZ/L6o+mUVReJyslANU+SH+StKSf+SmfSEn+7H/F3L+e6+SUI+uU0+LUoO:iT9tZW/lehR79C5yC6ZtO9NWZB+Ll6QH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99c4649b9e6631cd |
|
VISUAL
aHash
|
7e7e7e3c3c1c0000 |
|
VISUAL
dHash
|
f0f0d4e8f0f8e4f0 |
|
VISUAL
wHash
|
7e7e7e7e3c3c0000 |
|
VISUAL
colorHash
|
07000008006 |
|
VISUAL
cropResistant
|
f0f0f0d884e8e8f8,f0f0d4e8f0f8e4f0,3f2f2f67e73b333f |
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 49 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)