Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F3E2A87261006B3B01A792CAB291A75EB3E3874FD74E041652FD872D0BF3E50ED2765A |
|
CONTENT
ssdeep
|
768:JQeLqd3OTodyy1hPc5Amv7sOy2+y9BH4crIe:hqd+h57sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d248f9328d6d94e9 |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
988cc4c0cc0cc300 |
|
VISUAL
wHash
|
006c70380e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
04288696968e2004,0080800058988000,988cc4c0c8cc2cc3 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)