Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16A32A6A97184816A43272FC6FC92E954B4E7327EDB749528E1B617E8D3E4EC0CC4CC66 |
|
CONTENT
ssdeep
|
192:ao2cJa0/8uHkFRsplAxxIspFSCP129MiMgm0:j2cJa0kuHkFRGlAxxIGZE9MPa |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99f126cc9b91cc66 |
|
VISUAL
aHash
|
8100181c3c380001 |
|
VISUAL
dHash
|
218c303232300c61 |
|
VISUAL
wHash
|
ff003c3c3c3c003d |
|
VISUAL
colorHash
|
38008000640 |
|
VISUAL
cropResistant
|
218c303232300c61 |
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 45 techniques to evade detection by security scanners and make reverse engineering more difficult.