Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15C812B303098AA73A093E2D8ABB59F4772E58395CF472B0467F8878E1FCBC45CE05841 |
|
CONTENT
ssdeep
|
96:TDhbiAraW4T6tkHiDao7LfKcMtRUsTMn8WaT:nhbiqT4TGDPKcMtCqMn8WaT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a69999993366cc99 |
|
VISUAL
aHash
|
ffffe7e7efffe7e7 |
|
VISUAL
dHash
|
10582d4d48244d4d |
|
VISUAL
wHash
|
ecece4e424242424 |
|
VISUAL
colorHash
|
07000040201 |
|
VISUAL
cropResistant
|
10582d4d48244d4d,cb0b1b32654b4e45,87071332516a4b4f |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)