Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D731DBF1B15A88B71293D1D266B25B1B75E18794DA8363000BF8E3AD0FEBC44DE02981 |
|
CONTENT
ssdeep
|
24:hR/CMuOm4sgG/zvVcqgYSHIivglCFwzD0BLS37zspcA/VDypkykFGRm:TV44s5eY23eC2zDjvsTty8Uk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a659dc7262d97322 |
|
VISUAL
aHash
|
00183b3f27277f77 |
|
VISUAL
dHash
|
98e0e2ebcdccf6e6 |
|
VISUAL
wHash
|
00203b372727777f |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
98e0e2ebcdccf6e6 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.