Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E373F850220077EB18330F71B356316AC1DEC688F796BD9AF698938195C517383A7AFE |
|
CONTENT
ssdeep
|
1536:ghmp9NAqwpZh3zNfV4Zd7sJjPhVPfGziPsNdnER:c |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b139869f39cc3166 |
|
VISUAL
aHash
|
ffefc3c3c3c3ffe7 |
|
VISUAL
dHash
|
199e969696960d4d |
|
VISUAL
wHash
|
01c3c3c3c3c3f787 |
|
VISUAL
colorHash
|
06040001000 |
|
VISUAL
cropResistant
|
199e969696960d4d,ccf09a82deb29696,ccb02b2bd00d8fb1,8cb89e3adce8aa8e,0dd5d55575f57169 |
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 357 techniques to evade detection by security scanners and make reverse engineering more difficult.