Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18412B670E129DA7B0163C3C8BBBAAB166295D196CF932205D3EC476C06FBC5DDD134A8 |
|
CONTENT
ssdeep
|
192:NiIsM/pqrKrPr8rkrdXfc97zaudgd5Y74eNAx+goUQprswXr6Xrhg8:NDsmtEZ3s274eLgWuw2dt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f3664c4c665c58f2 |
|
VISUAL
aHash
|
00ffffffff0000ff |
|
VISUAL
dHash
|
64cc180c0c146800 |
|
VISUAL
wHash
|
00e7e7e7e70000ff |
|
VISUAL
colorHash
|
06000038000 |
|
VISUAL
cropResistant
|
0c0c0c140c0c0c20,0000000000000000,002020241a64e41a,0028166969162800 |
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 3 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)