Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15D628461C09C4E3EA2177DC1F9B5572B70E2834FDF422981BAB893B427CDC95A40795A |
|
CONTENT
ssdeep
|
384:mRp18HM4edQbV4C8ohmELHUIGHu2jsN8qJDo:wmRe2bV4C8lJIoTM8qJDo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dd93a4a92b0a9aea |
|
VISUAL
aHash
|
fffefc78f8f0f0f0 |
|
VISUAL
dHash
|
da0c78b1f3d3e3e7 |
|
VISUAL
wHash
|
fffefc1838303030 |
|
VISUAL
colorHash
|
02000030440 |
|
VISUAL
cropResistant
|
da0c78b1f3d3e3e7,d081c60e17294e5f |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.