Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A4324133E5008D294D9B958CF6C0AA8C525ED345FB3148C6B1B091BF7BC4DF169A93AD |
|
CONTENT
ssdeep
|
192:VN83JOYc0cAchemt3pl4r3MHWxMLuAFMcnthWeNWbZfMmUU8VCoW:Oc0cAchemt3pKr3MranfMmUFCoW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
88dd2277227788dd |
|
VISUAL
aHash
|
00183c0000000001 |
|
VISUAL
dHash
|
4c32b20c20000001 |
|
VISUAL
wHash
|
3c3c3c0000000303 |
|
VISUAL
colorHash
|
00007000000 |
|
VISUAL
cropResistant
|
4c32b20c20000001,8041455969696919 |
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)