Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T147733BF5A441FE2311B740D360AF8706B37F450BBC0E0890F6D8D6D672EA8666467BE5 |
|
CONTENT
ssdeep
|
768:8ECT0TQH7YFanUxQ3fL+i26ucYAmqiiZsSeW48kkdECem0oAA//Pj7Z1990RuaSG:83f6fypLpOG4BeDpzQ2N0msQw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c31bf034b43cb457 |
|
VISUAL
aHash
|
043c3c30302030ff |
|
VISUAL
dHash
|
9cc8c9d0c0c040c0 |
|
VISUAL
wHash
|
467c3c3070307cff |
|
VISUAL
colorHash
|
30000008007 |
|
VISUAL
cropResistant
|
9cc8c9d0c0c040c0 |
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 36 techniques to evade detection by security scanners and make reverse engineering more difficult.