Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DF740872D0B68ABB02AF32D9E1362749B193E707CBC217F564D4429C4BDAC999C176CC |
|
CONTENT
ssdeep
|
3072:OCE7BDX6CLWGSGqWTCLmGo1Eb2gD5ZKHZOL/6Oscm6xjsJM0n:8MCLlCL61Eb2gD5ZKHg6Oscm6psJM0n |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cb5868071681f76f |
|
VISUAL
aHash
|
00d8ffff243839bf |
|
VISUAL
dHash
|
e83313ac686be36b |
|
VISUAL
wHash
|
00c1f9ff203839bf |
|
VISUAL
colorHash
|
06600008000 |
|
VISUAL
cropResistant
|
8080808080800080,3333bc6868c3612b,cef9f18c93333333,f2cc84898dcf8717,6fc03c0383430b03,cdc8cacaca4e6c6d,c3d3d9c9cbc9c9c9,4e3b2f6d65e56573,e796c64edc8c0447 |
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)