Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FD134A726322B87883DB91EEE7382D46B2D65899F8C74414F5C95ACD23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aU+EsZx8/G854XDaw4MDBhwqMDBf7Ucix+y9dQpUDF1E56ITmHDLBABW8KPqDvt9:aU+EsZ/86XDaw4MDBhwqMDBf7UXx+y9+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba3a6f6e3a91c190 |
|
VISUAL
aHash
|
0000ffffffffffff |
|
VISUAL
dHash
|
4171101d15000000 |
|
VISUAL
wHash
|
0000818185ffffff |
|
VISUAL
colorHash
|
06007000000 |
|
VISUAL
cropResistant
|
4171101d15000000,0000100cb2303032 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)