Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T114E2E77502482E3DA61BCBE8F7A0F328636DE259D22FD168E6ED017116C3C45EC279E4 |
|
CONTENT
ssdeep
|
768:3lg6yUYNYKY1YtYvcJ5NwC953TcYcekaNcFK:FkB1kgc0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8ae870c2e9f8cbca |
|
VISUAL
aHash
|
ff001c003c3c0000 |
|
VISUAL
dHash
|
79f5f1b26969f4f2 |
|
VISUAL
wHash
|
ff003c183c3e1e1f |
|
VISUAL
colorHash
|
010000001c0 |
|
VISUAL
cropResistant
|
864969597969a27d,3333d3b54d494c4c,a254c2ea8eccccb2,f5f9f1f26969b4f2 |
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.
Pages with identical visual appearance (based on perceptual hash)