Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C1E10BF0D140ED3B475386D9A7B97B0B76A1C749CE07094493F883AEABDAC60CF11599 |
|
CONTENT
ssdeep
|
96:TkLnbzD71tDlt8v67McdwytpvwvFNQeZXqHFNe1XxX/J9ytO6fq2J:QLnbzD715lt8iIGwyXCUyXXPyUaqw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4e41b9b18ec139b |
|
VISUAL
aHash
|
f3f3f3f3ffffff00 |
|
VISUAL
dHash
|
262626a626500000 |
|
VISUAL
wHash
|
d0c0c0c0d3ffff00 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
26262626a6002600,def831dce869de7f,0000000000000000 |
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 62 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)