Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B0A2DC308049717B533758C9E8721B2E74E39B6DCE230C469BFC578ABFE1DA1AD0558A |
|
CONTENT
ssdeep
|
384:Cmip/hm8FGsMi9djFUPXYzruF873eMAlXaX7tl1I7f:7Y/QdcXXaXaX7tlW7f |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cf3c38c7c6989a38 |
|
VISUAL
aHash
|
00003c3c3c3c0000 |
|
VISUAL
dHash
|
0b567169696911a7 |
|
VISUAL
wHash
|
00003c3cffffc1cd |
|
VISUAL
colorHash
|
0fc01008000 |
|
VISUAL
cropResistant
|
f5b5958d9e9583b9,0b567169696911a7,54d6d494d4d6dc56 |
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 1576 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)