Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E6335C726731B8A983DF51EEE7382D59A2C6449DF8CB4550F1C99A8D23C7CD02287BB4 |
|
CONTENT
ssdeep
|
1536:aS+EsZ/8gNDVRnMuBPR6MuBcrpRXPZlQaQD9OehM+BrUgq4FJ:aHbRhR5rpR/PkEeDFJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cab4b56b1a0bf087 |
|
VISUAL
aHash
|
fffffd1898f8393d |
|
VISUAL
dHash
|
8907313979196969 |
|
VISUAL
wHash
|
fff9f9080808393d |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
8907313979196969,2f5747575f321f87,49452bd8c4e45145 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)