Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T104C2A531B1006A3B5297D3CDB761E71BE3E2434AEA86190453FD83AD4BE7E58DE23119 |
|
CONTENT
ssdeep
|
384:TSkZATpEs32OWYsKYPML30WMYZlPHls78y+NIhATtaIYsOy2+y9BH4cUUIe:TSkZAT4qBFZkP+NR07sOy2+y9BH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c622b96dcd4693b2 |
|
VISUAL
aHash
|
000004300000ffff |
|
VISUAL
dHash
|
ccccccc4c0c0cc00 |
|
VISUAL
wHash
|
00006e7c7038ffff |
|
VISUAL
colorHash
|
3a000000430 |
|
VISUAL
cropResistant
|
6080800458988000,ccc2ccccc4c0c0cc |
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.