Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E8C2BB31B18931272277D6D4E8633F3A71A3F30AC61AD8149EE991850FD3C76F5B24A9 |
|
CONTENT
ssdeep
|
768:BdkvZvUkewwNXSDSrWvOA/TynxisuyCUWEszHb+tTPRiUuUcUwUowBT:BdkvZvUkzwNXSDSrWvOG2nxisuyCUWEr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b06c4b5b1ea1e45e |
|
VISUAL
aHash
|
0000767704676f00 |
|
VISUAL
dHash
|
2259a68e8c8ec828 |
|
VISUAL
wHash
|
900077ff76776700 |
|
VISUAL
colorHash
|
38000000011 |
|
VISUAL
cropResistant
|
2259a68e8c8ec828 |
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 36 techniques to evade detection by security scanners and make reverse engineering more difficult.