Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T128B36DB13A6CF57759734393A09F2013B379202F540D0D60A368EDDD72ACC9AA177E9A |
|
CONTENT
ssdeep
|
1536:CmI8bTfhHXwvb9WzQo2h20VTj/oDtVPTMnEWPDruIbVHoK9:5NXx0MujgDnaDVbVd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d936cc33cd263698 |
|
VISUAL
aHash
|
0218183818001818 |
|
VISUAL
dHash
|
96317050511b3333 |
|
VISUAL
wHash
|
d6fc98fe1c081838 |
|
VISUAL
colorHash
|
38000010180 |
|
VISUAL
cropResistant
|
0008127272520000,96317050511b3333 |
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 49 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)