Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18263442C5F531364B203A7E8A4021B247F4ADF2E57594AA4D79AEF75B9C6C8CC8318D3 |
|
CONTENT
ssdeep
|
1536:qbNbIDR/7R/c/M9Z+JAJPQiBnacLf38Lf9sLfp/LfdeTzhBeC3L:qYc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
980d29f6a623d4af |
|
VISUAL
aHash
|
1b181818ffffed99 |
|
VISUAL
dHash
|
133310b26c240955 |
|
VISUAL
wHash
|
13181800ffff8b99 |
|
VISUAL
colorHash
|
380010400c0 |
|
VISUAL
cropResistant
|
133310b26c240955 |
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 70 techniques to evade detection by security scanners and make reverse engineering more difficult.