Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B96343B1607692F34A8FF2D07272636E3193E34BF78517E1A5ECC3581AA8ED5AE53014 |
|
CONTENT
ssdeep
|
1536:8wcBrIe1tgkwhnoT2OE0MIe1tgkw72V7nb+lt/f/7WlfzUkmaCk/MAC/q/XBvgP7:8j++2Y1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9661cd1e32dd6433 |
|
VISUAL
aHash
|
003c2414043c3c3c |
|
VISUAL
dHash
|
4968482dad617961 |
|
VISUAL
wHash
|
243c3c34063c7e7e |
|
VISUAL
colorHash
|
08007000000 |
|
VISUAL
cropResistant
|
4968482dad617961 |
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 94 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)