Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ED154733421935260537C6D430A99B37D2A6DE5FFAE70A010EECD7F72BE9CA0745A11A |
|
CONTENT
ssdeep
|
3072:ooSooLqhF9rQ6kQFyxlF2EyGkXqAwkCPBRewGGUTq5oq5TUOC:UQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a3d8bcc35b306d43 |
|
VISUAL
aHash
|
ffff000070736700 |
|
VISUAL
dHash
|
a92fd7c9cacbcf0b |
|
VISUAL
wHash
|
ffff000470737701 |
|
VISUAL
colorHash
|
02002400200 |
|
VISUAL
cropResistant
|
27dfd7c9cacbcf1b,0022c9c922c9c936,671796767676f623,1926a18898a3a3d2,16434363637332e6,000834b2b2300800,419893ecec9cd321 |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.