Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T180234C736731B9A883DB51EEE7382D59B2C5589DE8CB4400F5C996CD23C7C906287BB4 |
|
CONTENT
ssdeep
|
1536:aB+EsZ/8lDVRzMjBRRxMjBeDrpRXPZlQaQD9OehM+BrUgq4z:aOCRARLDrpR/PkEeDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
af95d5c0c0f195c5 |
|
VISUAL
aHash
|
8181818181818181 |
|
VISUAL
dHash
|
5579795d41494941 |
|
VISUAL
wHash
|
ff9d9981bd81a181 |
|
VISUAL
colorHash
|
31007000000 |
|
VISUAL
cropResistant
|
5579795d41494941,b269799ec4c0c4c4 |
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.