Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12E6308E06644FD2359B3809720DBE246B37E151BF90D48D0B188CBC9BBEE877166B661 |
|
CONTENT
ssdeep
|
768:pZT0TQH7YFc5UcYbZR6z5sYivO4sVzc+b42NB2jIGrTnzq8QE12OlDlGYQZ/y:pDYv6z5sYivO4YzQ2N0msQw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
961490bae16bc7c7 |
|
VISUAL
aHash
|
1c1c3c203c3e0c7e |
|
VISUAL
dHash
|
dcf4c4c5c06878c8 |
|
VISUAL
wHash
|
7e1c3820787e1c7e |
|
VISUAL
colorHash
|
08000e00000 |
|
VISUAL
cropResistant
|
81c1e1f0f8fc7e77,e8cc84a6a6a6a69e,dcf4c4c5c06878c8 |
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.