Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T154F341F710C4A7399B86C3C56962B73CD28301DBADD18DCED1D29E46ED4DBE2A91018E |
|
CONTENT
ssdeep
|
1536:MR2SEwgPRpHhyHgYPN6sPycQPB1PqiPP5H87PyRnNfY03pNSYQ/0jmSOf1xzeygi:MkSfCd3MXEKJSW6Y9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8c7e33cc7383843 |
|
VISUAL
aHash
|
ffff09be9e8e8e6e |
|
VISUAL
dHash
|
0dcf1b74343c34c8 |
|
VISUAL
wHash
|
e7ff083e1e060e2a |
|
VISUAL
colorHash
|
07210000006 |
|
VISUAL
cropResistant
|
0dcf1b74343c34c8,bc0c5e1f3b3b23b5 |
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 939 techniques to evade detection by security scanners and make reverse engineering more difficult.