Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18D446C33421935260537C6D430A99B37E2A6DE5FFAE70A010EECD7F72BE9C90745A11A |
|
CONTENT
ssdeep
|
1536:7K2xIIwtsEJPjQBq1Wixx2NFtB+Nvt8VPB6RxknNucRIqA4oWIx2UdP38NEfoUrp:fsLqBwQ6cpkF2W |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec9c32c393b21e96 |
|
VISUAL
aHash
|
ff9999d9f9c18181 |
|
VISUAL
dHash
|
2333373363230727 |
|
VISUAL
wHash
|
ff9999d1b9c18181 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
2333373363230727 |
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.