Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17203B2486789367351B362D1F69CBE3DA4E9F30ED0DA4A4156FAA70C8FA6C76F4D0060 |
|
CONTENT
ssdeep
|
384:AnvrtCNM0HhwwwGdMI2Y5lcomxJ+ht+TYNxgf:6Dtx0TXiJ+Dqiaf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b83c4e5b39674646 |
|
VISUAL
aHash
|
00fff7cfcfffffff |
|
VISUAL
dHash
|
2320269618001000 |
|
VISUAL
wHash
|
00000000c4fcfcfc |
|
VISUAL
colorHash
|
07038000200 |
|
VISUAL
cropResistant
|
2320269618001000,0002d4d4d4d44200 |
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 218 techniques to evade detection by security scanners and make reverse engineering more difficult.