Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T149727323B600CC3A5DCB06ECE6D4AA09151DD306FA3188CA72A891BF77D5CF466997DC |
|
CONTENT
ssdeep
|
192:j1DYcYcC+9wnvTACUrxWyxRW2McnthWeNWbeDfMmUU8VCoLw/VJud2Cj8xm:j18cYcCDnw9DfMmUFCoLzj8xm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a425855afab55a5a |
|
VISUAL
aHash
|
0707070707070707 |
|
VISUAL
dHash
|
76f6373637f7f6f6 |
|
VISUAL
wHash
|
070707c70f0f1f1f |
|
VISUAL
colorHash
|
020000001c0 |
|
VISUAL
cropResistant
|
80acbfb033b3c081,3fffbf9f9fffffff |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.