Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15AF2747161529D3B50B7D6E5E3B5A72B32D2D386CA03020583FC87BD0BEAD85FD22994 |
|
CONTENT
ssdeep
|
768:9AIHiagxaNTcvotvszAmd1Mub60Vw/OWAB/ruphH:eCNTcvotAGu70OWc/o |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3332a2c3e3c2e3e |
|
VISUAL
aHash
|
017c6c6e0470787c |
|
VISUAL
dHash
|
33d8d8d82cc3c0d5 |
|
VISUAL
wHash
|
017c6c6e7e78287c |
|
VISUAL
colorHash
|
38006000000 |
|
VISUAL
cropResistant
|
33d8d8d82cc3c0d5 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.