Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FC03E8716401393782B381D2E6B66B99F3F18144DB97164A63FE838CA7E9C50DF2386D |
|
CONTENT
ssdeep
|
768:22YIISAxxxAg8R7/WM45DEo7byxHE+bP7+2SPMRsoFk5K6h7g1X+PTuuBaoiinId:+IISAPdW8BTOpRntSPMRsEIK6h7g1X+0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c31a396de63cc6c2 |
|
VISUAL
aHash
|
000c7c747c7c0038 |
|
VISUAL
dHash
|
23d8c8e4c0c838c0 |
|
VISUAL
wHash
|
000c7c7e7c7e1c7c |
|
VISUAL
colorHash
|
38200048001 |
|
VISUAL
cropResistant
|
23d8c8e4c0c838c0 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.