Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T106414131802CDDB762D3C7E867E1AB1A361A9288CF030D0923E8877E4EDBD10CE451B9 |
|
CONTENT
ssdeep
|
24:hR/Cz+Sfeqr4+xidQYNNeYNNbYNNYNz8mCJ61pmNu9ujbza2qr9uRqKqtYCok7gv:TqWm4LH7mY58mCGpmAxxDVtcTmGg/rHG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9999666699996666 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
304cb2b2b2320c10 |
|
VISUAL
wHash
|
03031f1f1c1c0000 |
|
VISUAL
colorHash
|
07000008180 |
|
VISUAL
cropResistant
|
a28c8eb2c033b2c0,304cb2b2b2320c10 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Portuguese | English | Trigger |
|---|---|---|---|
Pages with identical visual appearance (based on perceptual hash)