Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T147E29231A019AA3F06D7A7D1FB69A76A7395838DD947072A82FCC74C4FEBC90DD06490 |
|
CONTENT
ssdeep
|
384:SMIItkSjQhIIIII9YlBHwDhP21mmcEJLtM+ssXC178yBckk1pGpW:LIItk3hIIIIILJuPcwhQsXq7pB/k1pB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
87e3711c9c396396 |
|
VISUAL
aHash
|
00e3e7ff7f181810 |
|
VISUAL
dHash
|
87c7cbf3e5f3f0f0 |
|
VISUAL
wHash
|
00e3ffdf7f181810 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ca9d888c8c,0000706969000000,87c7cbf3e5f3f0f0 |
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.
Pages with identical visual appearance (based on perceptual hash)