Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17B83C64E5455202E472B40F388F71FC9BB795C2FF92912D294B887A2B39D9F13166B0B |
|
CONTENT
ssdeep
|
768:8yWuyP/U+duSD5WC11LGC/98n+s8co/un4vqZ5H5X8UUpJxCML6A1iSyYT/zZ737:nhSd98ByOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8a7528d78b5d2475 |
|
VISUAL
aHash
|
0000003c3c7e0001 |
|
VISUAL
dHash
|
0020166969d42201 |
|
VISUAL
wHash
|
0000303c7c7e3031 |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
6c6b98d3ae047646,5a4a66b526a5b535,0020166969d42201 |
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 469 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)