Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12B234A726332B86843DB91EEF7392A46B2D2988DF8C74554F5C95ACD23C3C806197BB4 |
|
CONTENT
ssdeep
|
768:a++EsZx8/G8Kl4hDatLM7Bnt9M7BB7Ucix+y9dQpUDF1E56ITmHDLBABW8KPqDva:a++EsZ/8KuhDatLM7Bnt9M7BB7UXx+yB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb90e56cc591d5c4 |
|
VISUAL
aHash
|
f1858d8d81818181 |
|
VISUAL
dHash
|
235d5d5d49515941 |
|
VISUAL
wHash
|
ff8d8f8fa9818181 |
|
VISUAL
colorHash
|
3ae00400000 |
|
VISUAL
cropResistant
|
235d5d5d49515941,fef9f1e1f1f3e4e1,343038383cbc9c89,63d8dad8c89898d8 |
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)