Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ACD29431B2847B3B42A7C2D8B360672EB2D3838DEB965A1563FA439D0BD7D10DD13526 |
|
CONTENT
ssdeep
|
384:ne/G6g1ITiRbcBK2EsZuSndrMDviW/VQ7sxTnm9IYsOy2+y9BH4ciUIe:ne/G6gXSn4HbTn67sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d272f43a8c69e1e1 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
9c0c4869cdcd9300 |
|
VISUAL
wHash
|
00c6e0300f07ffff |
|
VISUAL
colorHash
|
39000c000c0 |
|
VISUAL
cropResistant
|
0080800458988000,9c2c4848c9cdcd0b |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.