Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FA227123A600CD6A8DDB46CCF6C09A89412DC345FB3188CAB1A491FF7BC4DF065A979D |
|
CONTENT
ssdeep
|
192:kFzy8dXfUxxgvXXBJxbXaUHrxb6McnthWeNWbnfMmUU8VCoxo:y/PNXlXaUV9fMmUFCoxo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ad39383970b2c64f |
|
VISUAL
aHash
|
8999a1cfbbffffff |
|
VISUAL
dHash
|
33332b9f23400000 |
|
VISUAL
wHash
|
0101010181fffffe |
|
VISUAL
colorHash
|
07000000580 |
|
VISUAL
cropResistant
|
33332b9f23400000,000104034f3ffef9,000000c0300cc130 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.