Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17AD2C77161107B3741A782DA7361572E62E3434FDB420516A2FE83FD0BF6D14EE2762A |
|
CONTENT
ssdeep
|
768:z4YeDdV9ezw1cYZqIohZi7w/F9k5s57ep5cpBEebVoWrCRAy7sOy2+y9BH4cLIe:z4tV9es1ceqtcw/F9757ep6rEebVoWro |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d605b430bd34e5c7 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
d4ccccc0c8888c00 |
|
VISUAL
wHash
|
027c74306044ffff |
|
VISUAL
colorHash
|
31010001600 |
|
VISUAL
cropResistant
|
8c08808158d88000,d4ccccc0c0c8888c |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)