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
|
ccab8594a9b6949b |
|
VISUAL
aHash
|
f9f0f0f0f8f0f2f0 |
|
VISUAL
dHash
|
2303632323240426 |
|
VISUAL
wHash
|
f1f0f0d0f0f0f0f0 |
|
VISUAL
colorHash
|
07401000040 |
|
VISUAL
cropResistant
|
2303632323240426,7f9a190d9d7c647c,0b636753153321bd,715951e103cdec76,056561134b092420,0e3f4f5b1f0f4e22 |
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 | Portugués | Inglés | Trigger |
|---|---|---|---|