Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FBD1A631821C563B868BDA80E5F3AB9A75D5C34EC3176DD4BFEC26276BC9DB14A84014 |
|
CONTENT
ssdeep
|
96:0MdtFMdj0HqtoI6BAZ6CIbOL/gABdJCEzc6qp7Ecc6qmWUhmpb79p/XKOr:0MJY0rBAyOL4srCEQdExNUhSPzxr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eeb5426c96646c9a |
|
VISUAL
aHash
|
f0f0f0f2f0f0f0f0 |
|
VISUAL
dHash
|
2723672627272321 |
|
VISUAL
wHash
|
f0f0f0f0f0f0f0f0 |
|
VISUAL
colorHash
|
06600018000 |
|
VISUAL
cropResistant
|
1000121e1a1a0010,bc38f5e2caff7f1e,79ecb4ccb648bcc4,ffcfcf5c7d2f67f3 |
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 |
|---|---|---|---|
Pages with identical visual appearance (based on perceptual hash)