Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1871243E1D050ED37476382D5B7B67B2F77A1C244CF020E5453F8936E5BCACA1CA2299A |
|
CONTENT
ssdeep
|
96:TkfwpzDxLSTeEWhUSPRr8v67PgfTpilGOXOHlUSXcE/EWYJqJSgHmSTL4GAT431:QfwpzDx2sB8iiTpvQE5cqJfDv68F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d9897626f6275c22 |
|
VISUAL
aHash
|
001818ffff000000 |
|
VISUAL
dHash
|
61b17171cc20c020 |
|
VISUAL
wHash
|
803c3cffff0000c0 |
|
VISUAL
colorHash
|
170000001c0 |
|
VISUAL
cropResistant
|
317171717171c040,4104b17171707171,000000000000c020 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.