Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19251412251582E7EA18282ACCB01B37E32E622FDF716131152B90A7D22F5D98DC7B291 |
|
CONTENT
ssdeep
|
48:9BJaMTVOaTSH7hqZ+ZTcTwZoELfP9va1BboyzzduKBE:NvTVOUSHsweEbPJooy1+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d963626462d9d9cc |
|
VISUAL
aHash
|
0000181818181800 |
|
VISUAL
dHash
|
900cb23232b2b24c |
|
VISUAL
wHash
|
ff003c3c3c3c3c34 |
|
VISUAL
colorHash
|
38000000e00 |
|
VISUAL
cropResistant
|
0024dad8f0360800,900cb23232b2b24c |
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 56 techniques to evade detection by security scanners and make reverse engineering more difficult.