Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E9A34261B9A3542A30AF72CFC11B0B0D61C3E7CBC7625BE955F44128A6F6CA47E932D4 |
|
CONTENT
ssdeep
|
1536:ZWGKasvyuJdQmNlKv1YDzhe+LIYdm58bFf2NY4oo4fOVJVGFiBkfj:Ztv1YDzhHLIYdm58bFf2lQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93a22c39abebae82 |
|
VISUAL
aHash
|
01047e6c6c000018 |
|
VISUAL
dHash
|
239cccc9c9285630 |
|
VISUAL
wHash
|
010e7f7f7c0400ff |
|
VISUAL
colorHash
|
38000200180 |
|
VISUAL
cropResistant
|
239cccc9c9285630 |
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 936 techniques to evade detection by security scanners and make reverse engineering more difficult.