Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D2C2B731B1507A7B919383CAB761F76FA2E3428AEB87051462FC83AD4BD3D54DE23416 |
|
CONTENT
ssdeep
|
384:SSkZwTh8Pc+2f3VKY1z9KYDPfzJJx9ZpnfD/tJIYsOy2+y9BH4cUUIe:SSkZwTpHPbJnpfDL7sOy2+y9BH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc2cc5469aba |
|
VISUAL
aHash
|
000000200000ffff |
|
VISUAL
dHash
|
c488c8c8c8e0ec00 |
|
VISUAL
wHash
|
00006c7c7838ffff |
|
VISUAL
colorHash
|
3a000000430 |
|
VISUAL
cropResistant
|
6080800458988000,c4d6c8c8c8c8c0ec |
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.