Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D3630A9A6455602A073340E384BB1B89B7391C2FF92905E1A4B8C7F573ECCF1316AB5B |
|
CONTENT
ssdeep
|
768:nyWuyP/U+duSD5WC11LGC/98n+s8co/un4vqZnX8UNNcFNy9ZLbqzxuGSAHwzLNV:QpS/Q85yOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1cc39cf20cb6c39 |
|
VISUAL
aHash
|
c3cfcfcfc7f7cfc7 |
|
VISUAL
dHash
|
129e9a1e16069a9e |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07400000c00 |
|
VISUAL
cropResistant
|
129e9a1e16069a9e,000004787171290c,9f1f61f4d576144c |
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 475 techniques to evade detection by security scanners and make reverse engineering more difficult.