Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D793E94A5455202E432740E398B71FC9B7794C2FFA2906D294B887F6B39DCF1316AB4B |
|
CONTENT
ssdeep
|
768:DyWuy/PWuWfzL15CMR/u15zsFLIXFM9/SL8n+nHDvmLZHFCzST+9FZX8UNKZY5VI:iGCw1dByOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b993cc646664d699 |
|
VISUAL
aHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
dHash
|
961a9f9606969696 |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
1e401200080 |
|
VISUAL
cropResistant
|
0202020202020202,a0a0a0a0a0a0a0a1,62989acc889a70c8 |
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 476 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)