Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FF4255346248193E6A8787A5B551FB39E1FFC7CBD60B9C28F1BC40A2578BD48C9176E0 |
|
CONTENT
ssdeep
|
384:4R5MpohuHCDQ4d2HY2TDcUOy68jozTlQLN9:4R5MpohuHCDQ4d2HY2/BOy680zTlQLN9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d4b2aba1adb52a85 |
|
VISUAL
aHash
|
fffcdcdcf8f8f8f8 |
|
VISUAL
dHash
|
2b20343430303020 |
|
VISUAL
wHash
|
fff89080d0f0f8f0 |
|
VISUAL
colorHash
|
060011c0000 |
|
VISUAL
cropResistant
|
2b20343430303020,04c8c0e061916327 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Português | Inglês | Trigger |
|---|---|---|---|