Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17F433C6021819E3E459383D4D774E72CA3DBE246CB1B174AD3EC931B6BCAC99EC291D4 |
|
CONTENT
ssdeep
|
768:GLS607JlHpwWO3cq+1AEtWNt+ICfcNy4TdaZza0SCKepklHDY3Pw7gd:9lHpwWO3+t6t+ICUNJaWepklHCggd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec6e939498339371 |
|
VISUAL
aHash
|
fff1c181d1ffffff |
|
VISUAL
dHash
|
0b27032323671f19 |
|
VISUAL
wHash
|
e991818181f3c3ff |
|
VISUAL
colorHash
|
060020001c0 |
|
VISUAL
cropResistant
|
0b27032323671f19,820080e068600082,8200803030700082,8200c03030700082,8240303070204082,a280a08c8c8c80aa,a2a2b2b2b2b28e8c,ac69006479b3934e |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.