Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DF029531D119293FB1274AC9E5E8A33D22EE129DDD031624D5ED47AC0BECDE1AC3B660 |
|
CONTENT
ssdeep
|
96:tAosCKifknceMiflenif0nifOQVmdFtwksk1CSTQZoQJVSTSTSTLoYFJ91A8xJlP:Go3uceNRBsbak/neeDJ9yo3IQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93c239b4b44b96b6 |
|
VISUAL
aHash
|
0f0f6f6f6f0f0f0f |
|
VISUAL
dHash
|
d8dadddcdcdc9b58 |
|
VISUAL
wHash
|
0f080c6e0f0f0b0b |
|
VISUAL
colorHash
|
1b0000001c0 |
|
VISUAL
cropResistant
|
d8dadddcdcdc9b58 |
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 290 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)