Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T159D1A631821C163B468BCA80E4F3AB9A75D6C34FC3176DD4BFEC26276BC9DB14A84014 |
|
CONTENT
ssdeep
|
96:UMdtFMdj0HqtoI6BAZ6CIbOL/gABdJCEzc6qp7Ecc6qmWUhmpb79p/XKOr:UMJY0rBAyOL4srCEQdExNUhSPzxr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ce92d9696c14ad69 |
|
VISUAL
aHash
|
fcfcf4f4f1f1f0f0 |
|
VISUAL
dHash
|
0100642423230121 |
|
VISUAL
wHash
|
f8fcb490b0f0f0f0 |
|
VISUAL
colorHash
|
06401008040 |
|
VISUAL
cropResistant
|
0100642423230121,4b6333530121219b,9b0d8dcd5d64487e,0e63674353252320,003ffd1d67664e4c |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Portuguese | English | Trigger |
|---|---|---|---|