Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A3D19631821C563A468BCA80E5F3AB9A75D5C34FC31B6DD4AFEC26276BC9DB14A84014 |
|
CONTENT
ssdeep
|
96:UMdtFMdj0Hqtov6BAZ6CIbOL/gABdJCEzc6qp7Ecc6qmWUhmpb79p/XKOr:UMJY0CBAyOL4srCEQdExNUhSPzxr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ecaa94da546a49d5 |
|
VISUAL
aHash
|
fcf7f1f0f0f0f0f2 |
|
VISUAL
dHash
|
0507632723230624 |
|
VISUAL
wHash
|
fcf7b09090f0f0f0 |
|
VISUAL
colorHash
|
06402000040 |
|
VISUAL
cropResistant
|
0507632723230624,c1c1411332613b7c,9b0d8dcd5d64487e,0b6363531527213d,715171e103caec6c,033d27664d0f074f,0007e90830605919 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Portugués | Inglés | Trigger |
|---|---|---|---|