Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BF92E87263941E3E6103C3ACFBD1F778411EC1AAE32ADA68E6BD1731115BD95E923384 |
|
CONTENT
ssdeep
|
384:AWd2GWk5MO7maxUpxnjZmg26sJhd2NjaNcFK:hcGWkyO7maxUpxnlmgahdkaNcFK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d949a6ab4daab829 |
|
VISUAL
aHash
|
f988888888fffffe |
|
VISUAL
dHash
|
331a1a32528e0c0a |
|
VISUAL
wHash
|
f900808888ffe7fe |
|
VISUAL
colorHash
|
070c0000c00 |
|
VISUAL
cropResistant
|
331a1a32528e0c0a,0890d0e0e5412303 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.