Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11553736C7A4149A8F02B4F7762413F39E4B5D7C6CF7A3849FEA5822016D89161FB12BC |
|
CONTENT
ssdeep
|
1536:RgmPFh5vUuhFh5vUTsFh5vUEIOFh5vUH2Fh5vUaFh5vUmAFh5vU4Fh5vUCDFh5vQ:b |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3c3393c6ec41e93 |
|
VISUAL
aHash
|
00287c7400007e7e |
|
VISUAL
dHash
|
c4c8e8c460b0d4d4 |
|
VISUAL
wHash
|
466c7c74005a7e7e |
|
VISUAL
colorHash
|
30007000040 |
|
VISUAL
cropResistant
|
40b8d2ea36da6c36,c4c8e8c460b0d4d4 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Portuguese | English | Trigger |
|---|---|---|---|