Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E452C965832062794E4FCBDCBF25BFA8608B94AED5F645D987BEC35813D5CC0FA08588 |
|
CONTENT
ssdeep
|
192:AqcxckOmdIOYXiKfcSMfr/zl3t8M47cv9LoYM71mJBzd/p6ow5hxMNDegwYG0:Aqi1L7YXiscSWrL5iA+hxMhwYG0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8e1e71711c0e8fe3 |
|
VISUAL
aHash
|
00003f18ffffffff |
|
VISUAL
dHash
|
20cc6131d5c8c0c0 |
|
VISUAL
wHash
|
000010107fff7fff |
|
VISUAL
colorHash
|
07000000007 |
|
VISUAL
cropResistant
|
000080a080000000,0080008080800080,986171f5c8a1c0c0,4141008080804040 |
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 90 techniques to evade detection by security scanners and make reverse engineering more difficult.