Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EA326133E600DD2A4A9B668CF1C0968C415EC346FB3148CAB1A491FF7BC4DF1699939D |
|
CONTENT
ssdeep
|
192:h0Yc0cRchx9ruQx9McnthWeNWbW6OR/7fMmUU8VCokr:tc0cRchx9z6OR/7fMmUFCokr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b33333cccccccc8c |
|
VISUAL
aHash
|
e7c3e7ffffffe7ff |
|
VISUAL
dHash
|
4d4d4d32040c0c20 |
|
VISUAL
wHash
|
2424240c2f27273f |
|
VISUAL
colorHash
|
07406000000 |
|
VISUAL
cropResistant
|
4d4d4d32040c0c20,a08080a2a08080a2,50956a6a6a11b230 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)