Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11B13D83128D56E2B519382C8E3106B0BE3D98548E27FC65DF5DAC31A4AC4ED5C82BF99 |
|
CONTENT
ssdeep
|
768:S0hlHVEyiipK6CDwwQyUQYmVrBTOVQO/p0o8vhf0eL8DvtdBcSWHEJxh:S0hlHVNimCDnUQYm5IQO/s9Z0FcSWHEl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9416ebeac9caca94 |
|
VISUAL
aHash
|
fd0606060606fffb |
|
VISUAL
dHash
|
71ccecccecfc3b33 |
|
VISUAL
wHash
|
fd0606060606fffb |
|
VISUAL
colorHash
|
0e0000001c0 |
|
VISUAL
cropResistant
|
0021096161890192,96d6e8b094710f8e,80181b0c33331313,ccccecccccecacec,5d8ba6decec6c647 |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)