Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1912141937208003E027BA2885AD6F520D3A9E705C4630C60B7FC5ADE0CC6E30DCAF2B2 |
|
CONTENT
ssdeep
|
24:hmJOupILziTms7CdSrbpsNymoCWmVx5muAQnYsVU:cYupSziTmsmdSvpQ9VxTAQYiU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b32cccc3333cccc |
|
VISUAL
aHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
dHash
|
6969696969696969 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
330000001c0 |
|
VISUAL
cropResistant
|
88808c968ecc8088,0000000000000000,0000000000000000 |
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 38 techniques to evade detection by security scanners and make reverse engineering more difficult.