Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CB233A72A332B47843CB92EEE7382E45B2D69889E8C74554F5C95ACD23C3C816197BB4 |
|
CONTENT
ssdeep
|
768:aN+EsZx8/G8pB4eDat2MRBrtxMRBRUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvtk:aN+EsZ/8pyeDat2MRBrtxMRBRUXx+y9h |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb916c6cc595c5c4 |
|
VISUAL
aHash
|
f1818f8f81818181 |
|
VISUAL
dHash
|
035d5d5d59415951 |
|
VISUAL
wHash
|
ff8d8f8fa9818181 |
|
VISUAL
colorHash
|
3ac00400000 |
|
VISUAL
cropResistant
|
035d5d5d59415951,343030383cbc9889,fef9f1e1f1e6e4e1,03d8dadac8818990 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)