Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12D72B4F4D2440379A107DBE6B8193A18B223BA7F9FC49E28C6A44ED525EEDFD9CC0144 |
|
CONTENT
ssdeep
|
384:p9zcrP32GnO96GOus5WJ4E1/62LT+UjFNn9jeev+S7:ErfbRtAL1/tTJFppemb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a7595c7233c9cc23 |
|
VISUAL
aHash
|
00103b3f27377777 |
|
VISUAL
dHash
|
88e4e2cbcde6e6e6 |
|
VISUAL
wHash
|
00003b3f27377777 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
88e4e2cbcde6e6e6 |
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 19 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)