Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15472C63AC318FBAE0153C3ECCF26736A629DD5D5E547064466EACB2D99C5DE8EC02092 |
|
CONTENT
ssdeep
|
384:vh998n/NYn+hpOMhe21f5+H98nZ722tCbnunhBy0o:vhO9sMhb1fA22KCOBy0o |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b93646591943473f |
|
VISUAL
aHash
|
00c78f8f8f8fffff |
|
VISUAL
dHash
|
793c3c3a3a382030 |
|
VISUAL
wHash
|
000707078f8fff8f |
|
VISUAL
colorHash
|
06007200000 |
|
VISUAL
cropResistant
|
793c3c3a3a382030,0010928989880808,8190483032081008 |
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 1 techniques to evade detection by security scanners and make reverse engineering more difficult.