Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C2334C726731B8A982DF52EEE7382D5AB2C6449DF8C74540F5C996CD23C7C902287BB4 |
|
CONTENT
ssdeep
|
1536:a1+EsZ/876DVRZMuBHRKMuBEDrpRXPZlQaQD9OehM+BrUgq4z:aqxRLR9DrpR/PkEeDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cab4b56b1a0bf087 |
|
VISUAL
aHash
|
fffff918b8f9393d |
|
VISUAL
dHash
|
0986313979196969 |
|
VISUAL
wHash
|
fff9f9080808393d |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
0986313979196969,2f5747575f321b87,45451bd8c4e45145 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)