Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BE8331E897B5B12F527A71CFFA025D5BE4C280BE801F2C63FB5C951E2EC3A5696D1408 |
|
CONTENT
ssdeep
|
768:QoCm4IGKKbNZXjNNEvJntLhZtNZivXXs77tr5tNhW/g+zfIh5fWCkiDYUhSaitz:Qrm4IGDbHzXktLhvvWWd6gwfE5SRtz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3bc3cd2c9292c9 |
|
VISUAL
aHash
|
c381c3c381ffffff |
|
VISUAL
dHash
|
2b2b0f0f333f0837 |
|
VISUAL
wHash
|
8181c18181cbffff |
|
VISUAL
colorHash
|
0e0010000c0 |
|
VISUAL
cropResistant
|
2b2b0f0f333f0837,47c6310115261616,cdcdd51616dbf2fb |
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 40 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)