Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10B634BB4B840B25385F781D7A1BF290773BC490B640E4560F678DADA71E4869B0F7BC9 |
|
CONTENT
ssdeep
|
1536:OFM1flyz9joTb7HNqiGX4pn5izQ2N0msQw:OCtYjifIVw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e9696596169655c3 |
|
VISUAL
aHash
|
00c181dfffffffe3 |
|
VISUAL
dHash
|
3733331f3216378e |
|
VISUAL
wHash
|
008181c3ffffff00 |
|
VISUAL
colorHash
|
0f240030000 |
|
VISUAL
cropResistant
|
3333331e37162f8e,dc37333333133337,12eacaca3a0a0201 |
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 36 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)