Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E1B27431A100AA3752D782CDB7B1A72EA1E3434EDA52075593FD83AD0BE3D54DF2342A |
|
CONTENT
ssdeep
|
384:u6x9uIRvDZlkXqVe1k/gSvGuUrYoCn8IYsOy2+y9BH4cUUIe:u6xZ8Weq/vGuyJ7sOy2+y9BH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d243dd3a9829e1cb |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
38ccc8c8cd8d8300 |
|
VISUAL
wHash
|
0c7c70006445ffff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080800030b08000,18ccc0e8c8cd8d8b |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.