Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18FA39B33411935274437C6D130A55B3BD2A6DD9FFAA70A010EECD7EA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
768:JSy5NzB7Lz4NP3+mZY9svblTOCVrRfiejoOvhxS+FtiuCa28y2OZL:37Lz4NP/y9svbliCdfPjFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c722853af869fc46 |
|
VISUAL
aHash
|
00000000000020ff |
|
VISUAL
dHash
|
5cc8464a4828c5d0 |
|
VISUAL
wHash
|
067f32a8fc0070ff |
|
VISUAL
colorHash
|
31030000200 |
|
VISUAL
cropResistant
|
0080a00030308080,5cc8c44a484820c4 |
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.