Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13AD2C731B1007E3F53D793CD7262E32D96B3428DDA020415A5F983AE4BE7D65DB2B229 |
|
CONTENT
ssdeep
|
384:z/ny5Nzuos4ShXUKpOzfQk7EeAAGOba237kFHVva/zpCLZ1aMrERt0MIB+6Fp3qU:rny5NCeMTdm3hRe7sOy2+y9BH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c763b4389c28d7a3 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
14cccae2c8cdd100 |
|
VISUAL
wHash
|
00f7f3300004ffff |
|
VISUAL
colorHash
|
31000400030 |
|
VISUAL
cropResistant
|
108080024c888000,948ccec2c2c8cdd1 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.