Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T156635422D3531913A0BBC5D8B073478D2291468DC7174B79A7BD63BAB9CFDB63612388 |
|
CONTENT
ssdeep
|
1536:rsIzrMztCXeeeeeeOJeAI3e2eOr2xn57rYupTOOneAeeod7BvsfHzueQGee0Eeez:PPe2ed57rYupBUvcTOXjagA6MsRq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b86c6cc693939966 |
|
VISUAL
aHash
|
c3c1c3cfe7cfe7e7 |
|
VISUAL
dHash
|
072737980f9f1f9f |
|
VISUAL
wHash
|
8181c1cfc7cfc3c3 |
|
VISUAL
colorHash
|
06000030000 |
|
VISUAL
cropResistant
|
072737980f9f1f9f,725c33fa1a121434 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.