Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T104234B726332B87847DB92DDF7382A46B2D2988DF9CB4550F1C95A8D23C3C816197BB4 |
|
CONTENT
ssdeep
|
768:aI09+EsZx8/G8Jh4QwDawjMLBZwnMLBjUcix+y9dQpUDF1E56ITmHDLBABW8KPqA:aI09+EsZ/8JSQwDawjMLBZwnMLBjUXxb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba7ac56d9390b4c4 |
|
VISUAL
aHash
|
ff8181858181ffff |
|
VISUAL
dHash
|
59430d4929270010 |
|
VISUAL
wHash
|
fd8181818081ffff |
|
VISUAL
colorHash
|
1e000e00000 |
|
VISUAL
cropResistant
|
59430d4929270010,1f5fceace6ced060,98832c1c4c28436a |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)