Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B9D1E831B09C4D3E740BA962F0B03B38A86FD34FE557AE69F094C80A7781CDAC225575 |
|
CONTENT
ssdeep
|
96:TGsTZuZX6ro3VlENf0Nk58jSk2kQvptbtUC31GpoYI9rF2:asTZu/vKv6jp2/tJVyoXe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc99666666663399 |
|
VISUAL
aHash
|
0018181818000000 |
|
VISUAL
dHash
|
30b2b2b2b2042000 |
|
VISUAL
wHash
|
fcfcfcfc38380000 |
|
VISUAL
colorHash
|
00007000000 |
|
VISUAL
cropResistant
|
96d6ececc071518a,30b2b2b2b2042000 |
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 75 techniques to evade detection by security scanners and make reverse engineering more difficult.