Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T130E29472B052A9374177C2E29279B76B72F2C28BDA47135192FC836C8BCBC91FD16065 |
|
CONTENT
ssdeep
|
768:7ppYRnxjMoA2sbpB7kcRjSRwz7OeWdIIeddDIIIycj7x3ZB:dpYRnxjMoA2sbpB7kcRjSRwz7OeWdIIZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3c73c3911c5c72e |
|
VISUAL
aHash
|
0000787870601000 |
|
VISUAL
dHash
|
9030c4c0c1c1f170 |
|
VISUAL
wHash
|
40f8fc7e79707818 |
|
VISUAL
colorHash
|
38001000180 |
|
VISUAL
cropResistant
|
16567073716c2b2b,34246f31354d5113,9030c4c0c1c1f170 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.