Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D0A35733411975274437C6D430A95B3BE2E7895FFAE70A010EECD7EA2BFAC90745A11A |
|
CONTENT
ssdeep
|
768:CepDBu/Lz4NP3+mZY9svblTOCVrR15B/MFtiuCa28y2OML:/WLz4NP/y9svbliCdTfMFtiuCa28y2Os |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3469433ed30ed25 |
|
VISUAL
aHash
|
00342000000004ff |
|
VISUAL
dHash
|
dcc9ccc8c8c8ccb2 |
|
VISUAL
wHash
|
027c7c60e06c2eff |
|
VISUAL
colorHash
|
31000008e00 |
|
VISUAL
cropResistant
|
fffffb8e96dfffff,0080812030808000,dcc9ccccc8c8cccc |
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.