Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E0224133E600CD2A8DAB558CF2C09A894159D349FB314CCAB1A491FF7BC4DF0699979D |
|
CONTENT
ssdeep
|
192:Qg3J4dc4n0zWbzsWxJMcnthWeNWbcH6XV+/zfMmUU8VCoMmy:KxXbDH6l+/zfMmUFCoMb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c3fc31838e70778 |
|
VISUAL
aHash
|
1f1f07070f1fffff |
|
VISUAL
dHash
|
3c786c3cbc7c00b0 |
|
VISUAL
wHash
|
070707070404fcfc |
|
VISUAL
colorHash
|
07002400010 |
|
VISUAL
cropResistant
|
3c786c3cbc7c00b0,3333d5131293c54c |
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.