Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D943DC80E8100DE7A06B43C19BF21BBC61DC6212CA121CDAF7FD5E5A7DEFD55382625A |
|
CONTENT
ssdeep
|
1536:pV/aeH4ArKEvF3iBonuk39/Y6kJ+F4Ol844AlOYry7yeyeyeyeyeymBYosvpGW:pNRttttt5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d0c43636f2c1dc9e |
|
VISUAL
aHash
|
0600f8f8c0800000 |
|
VISUAL
dHash
|
d43bd0901838d820 |
|
VISUAL
wHash
|
3e0dfcfcfcdc0800 |
|
VISUAL
colorHash
|
38181000000 |
|
VISUAL
cropResistant
|
d43bd0901838d820 |
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 44 techniques to evade detection by security scanners and make reverse engineering more difficult.