Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19BA36733411935274037C6D530A55B3BE2E79A5FFAA70A010EECD7FA1BFACA0745A11A |
|
CONTENT
ssdeep
|
768:fSkZmN4jLz4NP3+mZY9svblTOCVrYS42ULLacG/FtiuCa28y2OZL:wQLz4NP/y9svbliCdT28FtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c762bd39c546c332 |
|
VISUAL
aHash
|
00002430000004ff |
|
VISUAL
dHash
|
cc92ccc4c0e8cc9c |
|
VISUAL
wHash
|
00007c7c3838ffff |
|
VISUAL
colorHash
|
31000000418 |
|
VISUAL
cropResistant
|
4400a081303080a0,cc96c8ccc0c0e8cc |
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.