Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T167426233E200C92A4D9B65CCF6C49589555EC349FF3288C6A6B491BFBBC4CF4689936C |
|
CONTENT
ssdeep
|
192:mTBYcOcCIjOa+iN1qMcnthWeNWb/xpKrDLfMmUU8VCoHTGMgXZih:mTGcOcCmOEFxpKrDLfMmUFCoHTGMoZih |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ca4a25b55ab5a5a5 |
|
VISUAL
aHash
|
f8f878f8fcffff00 |
|
VISUAL
dHash
|
c1c969c949800013 |
|
VISUAL
wHash
|
38383818f8ffff00 |
|
VISUAL
colorHash
|
06000200030 |
|
VISUAL
cropResistant
|
c1c969c909010003,310d100001000000,10d2f2d4c6637319,0000353211310915 |
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.