Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CDE2D6718394213A13135ACCA5E0BB2973E3C30DDB45196872FAA7B89BCFDD199E3149 |
|
CONTENT
ssdeep
|
384:FVixN/qaZziWBdzWvuAqEQ557nC52ixWwQkDwCIiB4OSxfV0S+UE:FViz/XdzWvLQ55laB4bV0SdE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b30d19664d197759 |
|
VISUAL
aHash
|
00ffefffffe7efef |
|
VISUAL
dHash
|
8f080c1c0c4d0c0c |
|
VISUAL
wHash
|
00a7e7e707070707 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
4d084c140c4d180c,ffff9f9f9f9fffff |
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 19359 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)