Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E6326233A100CD2A4DAB95CCF2C09A8D515EC345FB7148CAA1A490FF7BC5CF069AA79D |
|
CONTENT
ssdeep
|
192:39W/7wYcxcC3fTaDgasKxq8XMcnthWeNWbJ1jfMmUU8VCoj2x:NIcxcC3fTx38o1jfMmUFCoj2x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b030cfcf30c1cfc9 |
|
VISUAL
aHash
|
c7c7c7c7c7ffffff |
|
VISUAL
dHash
|
9d9d9d9d1d000c00 |
|
VISUAL
wHash
|
44040404c4fcfdfc |
|
VISUAL
colorHash
|
06000000038 |
|
VISUAL
cropResistant
|
9d9d9d9d1d000c00,dcf0b3dce0e9dcfd |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.