Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AF428333B100DD2A49AB858CF6C49689525DD345FB3148CA727092FF7BC4DF06AA93AD |
|
CONTENT
ssdeep
|
192:ZvYcMcCSua12duJ8xlIJUxOr0IMcnthWeNWbAMdYfMmUU8VCoxF:ZwcMcCSua120OGrggMdYfMmUFCoxF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
85595126d62bf62e |
|
VISUAL
aHash
|
0008393b373737ff |
|
VISUAL
dHash
|
88d2d2d367e6e6e4 |
|
VISUAL
wHash
|
0008383b373737ff |
|
VISUAL
colorHash
|
070010001c0 |
|
VISUAL
cropResistant
|
88d2d2d367e6e6e4 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.