Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C37277229094643B426787C9A166B77A30E7625DFB05181077FC03798BEBE91783397B |
|
CONTENT
ssdeep
|
384:7LFVX8qg+CFwWo0XyA7CAUNoBXaaCYDqi6h2ChbTWh6D:7LFN8qg+GwW1Nu2sbTA6D |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3d68e1e3a98333c |
|
VISUAL
aHash
|
3474646400607860 |
|
VISUAL
dHash
|
c8c4c8dc44c8c0c1 |
|
VISUAL
wHash
|
747e6efe20607861 |
|
VISUAL
colorHash
|
38006008000 |
|
VISUAL
cropResistant
|
c8c4c8dc44c8c0c1 |
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.