Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T100A2DC308045717B533758C9E8721B2E74E39B6DCE230C469BFC578ABFE1DA1AD0558A |
|
CONTENT
ssdeep
|
384:Cmoep3Om8FGsMi9djFUPXYzruF873eMAlX4X7tl1I7f:7oU3tdcXXaX4X7tlW7f |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cf3930c6c71b9a2c |
|
VISUAL
aHash
|
00003c3c3c3c0000 |
|
VISUAL
dHash
|
0b566169616921b7 |
|
VISUAL
wHash
|
00003c3cffffc1cd |
|
VISUAL
colorHash
|
0fc40000000 |
|
VISUAL
cropResistant
|
d61797220b83868f,0b566169616921b7 |
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 1095 techniques to evade detection by security scanners and make reverse engineering more difficult.