Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18DA38A33411935274437C6D530A55B3BD2A6D98FFAA70A010EECD7FA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
768:qSy5N4L42Lz4NP3+mZY9svblTOCVrljmjCN6KaFtiuCa28y2OZL:jVLz4NP/y9svbliCdYxFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c723853af869bc46 |
|
VISUAL
aHash
|
00200000000020ff |
|
VISUAL
dHash
|
d8c8464a4828c3d0 |
|
VISUAL
wHash
|
067f33a8bc0070ff |
|
VISUAL
colorHash
|
31030000200 |
|
VISUAL
cropResistant
|
0080a00030308080,9cc8cc4a484820c2 |
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.