Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BE03EB21B801EC2A42CF59D9567A8225A3F59384C6130689F9B4D3FE5BEFD6CCB37025 |
|
CONTENT
ssdeep
|
768:zuyZuuY5dfyq1HkxHM4bu3d8BiTxcxysIx/j5Uf72:zuyrY5dfyq1HkJM4buNsiTx8ysIxC72 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aa55aa55aa55aa55 |
|
VISUAL
aHash
|
0000001818000001 |
|
VISUAL
dHash
|
0000081010080001 |
|
VISUAL
wHash
|
0c0c3c3c1f0f0f0f |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
0000081010080001 |
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 74 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)