Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14BE172B1D464ED330B1286D5B7B67B2B76B1C749CB02099066F4837E6BCACA1CB1189D |
|
CONTENT
ssdeep
|
96:TkNfXxOWEMOEMOnz8pDfST8hwyt7JT7EdHFXiXNHFFaXQX/oil+AT431:QNfAWEZEZnz8puohwyrT7EdonXwY8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b178c6ce033931ee |
|
VISUAL
aHash
|
ffdfc7cfffffff3f |
|
VISUAL
dHash
|
102e9e9a304010d0 |
|
VISUAL
wHash
|
3f03030f0000ff3f |
|
VISUAL
colorHash
|
070012001c0 |
|
VISUAL
cropResistant
|
102e9e9a304010d0,41521a4754544e4e |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.