Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F57168B90341144D6B82F8D4A412FF1AD54BC129E60AC87CA3EC5D6A77CDFB1CEA0A95 |
|
CONTENT
ssdeep
|
48:TuHceGTeOarEUPzdrdvWiK8NzxUggFI70ZGyXr+eVNj8960oj1qwrtpf1qdv5qOo:TfeV+siukXr97j8iFrtZgd35O |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a7765c0d5909277a |
|
VISUAL
aHash
|
00ffffffffff3fff |
|
VISUAL
dHash
|
80080c0c08ec6000 |
|
VISUAL
wHash
|
00e7e7ffff0f0000 |
|
VISUAL
colorHash
|
07202000080 |
|
VISUAL
cropResistant
|
ac0c0c0c08e84000,0000014141018000 |
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 231 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)