Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CBC2B93171507A3B119782CAB761E32FE2E3920FDA570406A2FC87AC47D7D54EE6351A |
|
CONTENT
ssdeep
|
384:glSkZCBfXpIz4EUEXoY8VSYJ34idA2kkwD2Uq61AIG9IYsOy2+y9BH4cUUIe:USkZCBBk4q1h6Io7sOy2+y9BH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c323bc6dc54696b2 |
|
VISUAL
aHash
|
000004200000ffff |
|
VISUAL
dHash
|
d4d8ccccc0e0cc00 |
|
VISUAL
wHash
|
00006e747838ffff |
|
VISUAL
colorHash
|
3a000000430 |
|
VISUAL
cropResistant
|
0880800458988000,ccd2ccccc0c8e0cc |
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.