Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CFF121E1C058DD37436246E9B7F96B1B76D1C344CE06094453F883AB5BDECA0CF22A9A |
|
CONTENT
ssdeep
|
96:Tkx21DtSTeEWhUSPRr8v67MRdKwvF5eRPXNdHFwCekQXIdHF7epXeHFLeRXoX/Ez:Qx21DcsB8iIzEh6lqA4wiX8nu7D6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3433cbc71c347f0 |
|
VISUAL
aHash
|
8000606000ffff00 |
|
VISUAL
dHash
|
51c8c8c8c0308000 |
|
VISUAL
wHash
|
ff80707040ffff00 |
|
VISUAL
colorHash
|
02007000000 |
|
VISUAL
cropResistant
|
01a2a2a2a2a28245,0182a2a2a2a2a245,01a2a2a2a2a2a201,82a282e291909090,0000000000000000,41b0c8c8c8c89060,0000000000000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.