Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E9C23371A054A83B8193F7CCC3259B9F71D2868ACA670F0867F487EE9BC7E90CC05569 |
|
CONTENT
ssdeep
|
384:a9uToa2u21QKNHUruZnZ0KCyfIKpY0cvv:a9ioaHOHUruyyfIbP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b03a5d4f4d3a3632 |
|
VISUAL
aHash
|
00ff87ffffffc7cf |
|
VISUAL
dHash
|
312b0d3242621d1e |
|
VISUAL
wHash
|
000083fbfbfb87c6 |
|
VISUAL
colorHash
|
07000008180 |
|
VISUAL
cropResistant
|
332c0d624a629d1e,000084d4d4d42300,ff7f9f9b63e7ffff |
Victim enters credit/debit card details including CVV and expiration. Card data is captured and can be used for fraudulent transactions or sold on dark web markets.
Malicious code is obfuscated using 24 techniques to evade detection by security scanners and make reverse engineering more difficult.