Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11261B7A62029791B56435BEDFA65B30689C3C2C6CB072A0431FB4B742BD9D44D9076D6 |
|
CONTENT
ssdeep
|
48:HRZcjFBV97FclsVgepRNZ9nWdzWI8gkqU64XGFenr4RyEoQ1F1t:KThHhRIYI8dLnXIer63D1FP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a0644f4b1b4f6765 |
|
VISUAL
aHash
|
00ffe3ffff00ffff |
|
VISUAL
dHash
|
c814961014161000 |
|
VISUAL
wHash
|
00c3c3c3c300ffff |
|
VISUAL
colorHash
|
06006000000 |
|
VISUAL
cropResistant
|
10169606109e1614,0000000000000000,004028c8c8e82050,0000083232240000 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)