Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15B8395765189693B0A7796C8D374AB8EB2C3464ECF130B81B7F4437EABCEDA19C15085 |
|
CONTENT
ssdeep
|
1536:2i46RxA1Iy+Vumu8JUFWkRjKMiU1jb+rKm6CJYMikqlKkuEpn:2i463uIRVlu6UFHRuHijqrh64YMjq8Nc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e9694716564f4746 |
|
VISUAL
aHash
|
00c1c1f9ffffffff |
|
VISUAL
dHash
|
e31b131334782834 |
|
VISUAL
wHash
|
00c0c1c91e3e2e3e |
|
VISUAL
colorHash
|
07207000000 |
|
VISUAL
cropResistant
|
e31b131334782834,0001030303030303,0020404c4c6c4c50 |
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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)