Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14AC283316150663F02A3D2C8B771772FA2E7838AE7860516A3FD876D0BDBE44DD63429 |
|
CONTENT
ssdeep
|
768:fezfjRPYF1J4eaxLieUXccTn7sOy2+y9BH4c1Ie:GgJfCgZ7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3479432bc31b1ed |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
ccc0c0c8c8cccc00 |
|
VISUAL
wHash
|
06787070400effff |
|
VISUAL
colorHash
|
31038000000 |
|
VISUAL
cropResistant
|
408088024c888000,ccc8c0c0c0c8cccc |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.