Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T118233B726332B86883DB91EEF7382D56B2D5589DE8C74414F5C99A8D23C3C806197BB4 |
|
CONTENT
ssdeep
|
768:ah9Qs+EsZx8/G8o7v4NDat0MmBytNHMmBMUcix+y9dQpUDF1E56ITmHDLBABW8K4:ah9Qs+EsZ/8BNDat0MmBytNHMmBMUXxK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee6e9191e46ec491 |
|
VISUAL
aHash
|
81818181ffffffff |
|
VISUAL
dHash
|
7171717549000100 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
1e006000600 |
|
VISUAL
cropResistant
|
7171717549000100,0d32b26970b63448 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.