Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T138A38A33411935274437C6D530A55B3BD2A6DA8FFAA70A010EECD7EB1BFACA0745B11A |
|
CONTENT
ssdeep
|
768:kZeXy5NX+VX8Lz4NP3+mZY9svblTOCVrc1EVYPIFtiuCa28y2OZL:78Lz4NP/y9svbliCdKELFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c373fc3a9529c903 |
|
VISUAL
aHash
|
00000000000000ff |
|
VISUAL
dHash
|
0c4cd6ceccc58398 |
|
VISUAL
wHash
|
c0e6fa202400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
8000a08138188090,840cc4d2c8ccc503 |
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.