Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T193731A7042416D77524363DA7232AB6676F15128FB22CA0C81F96B1A5FD5CCACC378AF |
|
CONTENT
ssdeep
|
1536:Ah+pAyCSIY6W/hf3ylnVNmnP+Ms/7dtl91kz+zr29qSnmdyLIQRZPKh4KJfzjelL:AyAyCSI23ylVNmnPZO7dtMMi0IAqqO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e0429d3a77b8387c |
|
VISUAL
aHash
|
0060002000ffffff |
|
VISUAL
dHash
|
44c581c948a47026 |
|
VISUAL
wHash
|
80604060a0ffffff |
|
VISUAL
colorHash
|
1ac00018000 |
|
VISUAL
cropResistant
|
9291a223a5a48ccc,fffefe7cbcd95062,aedecece8e868603,316968d0c0808000,d181818480c08080,a484888a10000000,0000803037362226,0ec1c581a1ca48a4 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.