Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17051A4704066992AD687C2D57BF27B0F32C9CB89CF9256456BF8538E8AC7D89DD08184 |
|
CONTENT
ssdeep
|
48:nGupmIZlQvljBTU9gpMrEpMRyUPezL/MFHoDsypv/+kPi0W+Aw9IGDntx:nGubQvVBTUUMrEwyNLmHoDsg/+4n9IGX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c8c127779cdc9899 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
c3c3b2b23333331f |
|
VISUAL
wHash
|
70e0f8fcfc9d8103 |
|
VISUAL
colorHash
|
00000038000 |
|
VISUAL
cropResistant
|
8c8df387a62131ac,c3c3b2b23333331f |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)