Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14182F9F0732495BEB583FBA5C2E37D12307294F7E6070498C3E02D6999D0AA89DD49B7 |
|
CONTENT
ssdeep
|
192:J9T2ssHBWSGvJLyQeFgyfUTWKTVozTmHaoxVoz+j3whHVozoctSu:q+vJL1eaIOWOxWKj3wNWFtt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9d8db272651d923a |
|
VISUAL
aHash
|
ffff1f1a00000000 |
|
VISUAL
dHash
|
fc3333f2923934a8 |
|
VISUAL
wHash
|
ffffff3b70000000 |
|
VISUAL
colorHash
|
03e09000000 |
|
VISUAL
cropResistant
|
7c7cf133337132f2,1d4d5c5e3e36d757,31b2f29bb93430c8 |
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 53 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)