Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17A154733421935260537C6D430A99B37D2A6DE5FFAA70B010EECD7F72BE9CA0745A11A |
|
CONTENT
ssdeep
|
3072:kUIAIkLqNy9fqQ6Qn4bjF2UyGUXqrXkC2pReqGGbTqkoqhBtUOf:k4DP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83dcbcc353326d43 |
|
VISUAL
aHash
|
ffff000070736700 |
|
VISUAL
dHash
|
e13fc7c9cacbcf4b |
|
VISUAL
wHash
|
ffff002070737701 |
|
VISUAL
colorHash
|
02002400200 |
|
VISUAL
cropResistant
|
27ddc7c9cacbcf4b,4026c9c92ad5d52a,661696767636f601,99192b36266626a6,9643436363733266,000834b2b2300800,419893ecec9c9341 |
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 26 techniques to evade detection by security scanners and make reverse engineering more difficult.