Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17DA38A33411935274437C6D430A55B3BD2A6DA4FFAA70A014EECD7EB1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:QSQLz4NP/y9svbliCdKXVHFtiuCa28y2O9:OmAVu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c762b53a952ad54a |
|
VISUAL
aHash
|
00002000000000ff |
|
VISUAL
dHash
|
1ec4c6c2c8cdc188 |
|
VISUAL
wHash
|
00fff0302004ffff |
|
VISUAL
colorHash
|
31000600030 |
|
VISUAL
cropResistant
|
c30080811c5880a0,1e8cc6c2c0c8cdd3 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.