Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T175C143E0D444ED37475386D9A7FA6B0B76D1C359CF02094493F883EF5BDAC60CA22699 |
|
CONTENT
ssdeep
|
96:Tk/KF8NeSTYNPuZ8pVwvFCeBXSHFOeJXJZX/2rY6ST5J:Q/KF8VMW8pwcnpXyEb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c5cf517e2a0aae2 |
|
VISUAL
aHash
|
fe1818181818ffff |
|
VISUAL
dHash
|
303030f170707104 |
|
VISUAL
wHash
|
be1818181818ffff |
|
VISUAL
colorHash
|
06600010000 |
|
VISUAL
cropResistant
|
303030f170707104,4944c268665327a7,4079e89624b35448 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.