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
|
ecab9591b994b48a |
|
VISUAL
aHash
|
fff1f0f0f8f0f6f0 |
|
VISUAL
dHash
|
2303632323240426 |
|
VISUAL
wHash
|
f7f0b0d0b0f0f0f0 |
|
VISUAL
colorHash
|
07402000040 |
|
VISUAL
cropResistant
|
2303632323240426,0b636353152721bd,9a190d999d65497e,715951e101cde476,063e4f5b1f0f4e62,011d60103b490922 |
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 |
|---|---|---|---|
Pages with identical visual appearance (based on perceptual hash)