Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T191333422D3571913907BC1D8F172474E22918A9DC7134B79A7BD63FAB9CFCB53A12288 |
|
CONTENT
ssdeep
|
1536:Deeemyee+eSee3eenJbaeeeyyeeN57r64pTe9e+TrIYeeBVeeeVefJNqeerHCpeu:r57r64peAJi16dtjZlzq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dfb86478255883d5 |
|
VISUAL
aHash
|
80bd3c3c3c3c3c24 |
|
VISUAL
dHash
|
246979696969694d |
|
VISUAL
wHash
|
c2bd3c3c3c3c3c2c |
|
VISUAL
colorHash
|
02000038000 |
|
VISUAL
cropResistant
|
246979696969694d,3874ebd0c0a08080,70c7909083e03e87,a0908987c6e97c98,8c9834f9b19ca7b3,0913020b0b414243,0000000000000000,23408180601c03e0 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.