Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B88177786091856B11C381FAB6E1BD1A2C8FC703C6A7ED8D96E5E6693BFFC60CC42550 |
|
CONTENT
ssdeep
|
96:7yGIm0T6k2anH+rnX5RoHEtWnX5RBk+gs2qqoqARgCWI:+GRiX2oQP6gWPBkUdhbgCD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cec3c31cc51e1ee1 |
|
VISUAL
aHash
|
f0f0f0f0f0f0f0f0 |
|
VISUAL
dHash
|
6404252404252404 |
|
VISUAL
wHash
|
f0f0f0f0f0f0f0f0 |
|
VISUAL
colorHash
|
03000000e00 |
|
VISUAL
cropResistant
|
14001c1e00961600,0101043938044040 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)