Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1067261B1915A9637136387D8B3B1B39FF7808185C983418AD2E6E35C2BE2DB0ED26315 |
|
CONTENT
ssdeep
|
384:iL+090jOJMTXpK2VDz/CyDhpqzsiMbRnm:iKoJMTXpK2VDz/RPqz6nm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fe7e79a961646480 |
|
VISUAL
aHash
|
80889492ffffffff |
|
VISUAL
dHash
|
2b38242426383026 |
|
VISUAL
wHash
|
80809480f7fffec0 |
|
VISUAL
colorHash
|
07200030001 |
|
VISUAL
cropResistant
|
2b38242426383026 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.