Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A5C28671A110673B02A3C2DDB7B1BB1F62E3824DC74A191153FD83AE1BDBE01AD27556 |
|
CONTENT
ssdeep
|
384:Ee4dbGZstffnwyWN2z/CwSd+5Fq10vIYsOy2+y9BH4cCUIe:Ee4dkjQawSd+nqo7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3069473bd3cb4a4 |
|
VISUAL
aHash
|
003000000000ffff |
|
VISUAL
dHash
|
dcc8e4c8c8c8c800 |
|
VISUAL
wHash
|
067c3c206044ffff |
|
VISUAL
colorHash
|
39000000e00 |
|
VISUAL
cropResistant
|
0c00980258988000,dcc8c4ecc8c8c8c8 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.