Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18834BB60B02018A709F3D4D5A4A47F9F74D2F32ED19F490269EC92593FE7CB0BB1496A |
|
CONTENT
ssdeep
|
6144:CIRoVQZQQZgBhxnNKi2jzyvuweak8V+9XFOFef:cQZQQZbOk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
af132f576c6e6050 |
|
VISUAL
aHash
|
00bfffffffff93b3 |
|
VISUAL
dHash
|
6760416169566777 |
|
VISUAL
wHash
|
008fbf81bfbf8181 |
|
VISUAL
colorHash
|
07180000000 |
|
VISUAL
cropResistant
|
776c616969677777,002040e0e0c02000 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.