Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T174D2AA7261107B3701A791D7B2A26B2A62E3434FE786051293FD83ED0BE7D14DB27229 |
|
CONTENT
ssdeep
|
768:teL7L+DBLWBMH5s5P0i4SV7sOy2+y9BH4cLIe:mLsi5PfTV7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d605b430ed34edc5 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
d4cce4c8c88c8c00 |
|
VISUAL
wHash
|
027c7c304044ffff |
|
VISUAL
colorHash
|
31010001600 |
|
VISUAL
cropResistant
|
0880880458988000,d4cce4c0c8c88c8c |
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.