Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15A53C76823501B7D50C787B4EBA17B3EA278D2C6EA2B555DE2FC812617C7C0DCD636A0 |
|
CONTENT
ssdeep
|
768:vRlUowNTw/uwEJFjo31TCFaJkD4J0pvRKn46ga1FLm2WRFA0Tvnr:vRgPR36gCm2WRF7P |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93ec6c9293c3ec68 |
|
VISUAL
aHash
|
ff00002e0e0e0c00 |
|
VISUAL
dHash
|
6becc7d8dcd8d8c3 |
|
VISUAL
wHash
|
ff04747e1e1e6e00 |
|
VISUAL
colorHash
|
01001000180 |
|
VISUAL
cropResistant
|
ff00634b4b6300ec,9696ea9a711669e8,ffffbfc6c6c6ffff,eccdccd8dcd8d8d7 |
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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)
Found 1 other scan for this domain