Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T118042AEC1350AEDD04C783F6FF1872A8A69BE15ACB924D06D1FC871461D2CBC8E29695 |
|
CONTENT
ssdeep
|
1536:bTbubruNsxhP03ImNNFiDkxhg0Ub5I8SzGVuNyF1brVVureOYp0Jd4/pFg5I8SzZ:FiSbRk4OWkAnV0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
929c693696cdc78c |
|
VISUAL
aHash
|
00007e7e7e660000 |
|
VISUAL
dHash
|
3317ccdccccc13cc |
|
VISUAL
wHash
|
01037f7f7f7f0000 |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
3317ccdccccc13cc,24645b195858dca6,4521416969610145,4141314d4d214101 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)