Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D9E2C6319014AD3F1AE7B3D1EA74A31A62D98389DA93071A41FDC74C4FEBC90ED27295 |
|
CONTENT
ssdeep
|
384:/63QjIISIIIIII95lBO9DJ2sW5wdn25XCjBigI346WivacdPyU4pW:zjIIhIIIIIycwpG/l4nJwbD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7e35d1c1969c686 |
|
VISUAL
aHash
|
00e1f7eb7f3c1818 |
|
VISUAL
dHash
|
c7cfcfdbf5e5f0f0 |
|
VISUAL
wHash
|
00e0f7ef7f3c1818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ca9d988c8c,0000e0d0d0400000,c7cfcfdbf5e5f0f0 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.