Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CCE2B531A448693F0A9B73C1E7A1E35BA2D543C9E903476A82FDC38D0BDED50EE17894 |
|
CONTENT
ssdeep
|
384:YMfIIViqIIIII9+lBVw2hu1/looY27KsKrIIWAtmfbpW:jfIIPIIIIIEY1/ad27HKrI0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e37d1c1c29e392 |
|
VISUAL
aHash
|
00e1e7ff7f381818 |
|
VISUAL
dHash
|
c7cfcdd3e5e3f070 |
|
VISUAL
wHash
|
00e1e7ff7f381818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3cacd988c8c,0000606868000000,c7cfcdd3e5e3f070 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.