Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DDA28461A908EC1642CFA9C9A572522961FA8345C60306C8FEB5D7FA5BBFC7DDB33014 |
|
CONTENT
ssdeep
|
192:X6SmzFiU21kQn3FsdjGd4OcO0iVZjqTSQNsrCEQdExNUhSPzxr:X6SmJ21n3Fs/O5xVZjqTSFroUa87x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e1e1c30f3f1e3838 |
|
VISUAL
aHash
|
f070608000000080 |
|
VISUAL
dHash
|
c8c8902080c0c000 |
|
VISUAL
wHash
|
f0f0f0f0f03030b0 |
|
VISUAL
colorHash
|
38208018000 |
|
VISUAL
cropResistant
|
57f1cca6a29accd1,23339927b68c8cb2,c8c8902080c0c000 |
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 83 techniques to evade detection by security scanners and make reverse engineering more difficult.