Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T166E2973512082A3E655386E4F6A1F77D91AAC389C65F991CF2BC02B127CBC85D8373D8 |
|
CONTENT
ssdeep
|
384:BZOaHYc+a4k0VdfncaIMYiaXflUQH1fuZzS9ix4B5:HOaHYc+a4k0VdkaNYiavlU8KS9iK5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a829d65ae1cbf0d8 |
|
VISUAL
aHash
|
ff03030101003dff |
|
VISUAL
dHash
|
fdb697c3a70569c0 |
|
VISUAL
wHash
|
ff1703010100ffff |
|
VISUAL
colorHash
|
03003000180 |
|
VISUAL
cropResistant
|
ddfeb797d327b705,5a5adb12ab5b4bdc,69696d0c4df090d8,ffb797d327974d69 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.