Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17892B8F2148CA57627039FD0F462BB15B39B61BEEB820700C2AC939C5FE7ED0D449999 |
|
CONTENT
ssdeep
|
384:+LJJYp8Ne78te8ITjKkrRjg1rnj3rr71NWEGWPZ+gEbDP5p3OE1CbvdRh2re1:+LJJW8Ne78te8I36LRBoZZCTdRh2re1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc662799319933b9 |
|
VISUAL
aHash
|
0010001818181818 |
|
VISUAL
dHash
|
726224b2b2b2b2b2 |
|
VISUAL
wHash
|
00101b1b3f3f1f1f |
|
VISUAL
colorHash
|
07007000080 |
|
VISUAL
cropResistant
|
92a280b233a08e9e,726224b2b2b2b2b2 |
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 105 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)