Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T140E2C531D046783F16ABA3D0E775A35EB2A587CDE943022582FD879C5BCFC90AE07496 |
|
CONTENT
ssdeep
|
384:7b55B5JIIKT9mIIIII9VlBrm4WQcztKH+JT1fwFLEuBNISii8NP/38F0wOevD05X:HhIIdIIIIIntET8B6VVUwK2nT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e35c1c1971c69e |
|
VISUAL
aHash
|
00e3e7ef3f3c1818 |
|
VISUAL
dHash
|
97c7cfdbf1e1f0f0 |
|
VISUAL
wHash
|
00e3e7ef3f781818 |
|
VISUAL
colorHash
|
31030000000 |
|
VISUAL
cropResistant
|
f3e3d3ce9c988c0c,0000606161600000,97c7cfdbf1e1f0f0 |
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 38 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)