Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1554266B69001AA37069391D072B2B3AF37E19389DAA707540BFCD3AC07DED99CD25D46 |
|
CONTENT
ssdeep
|
192:7Nq9Q7UxpPfUu9KO0Io3GDf4Jq4gztltdQ:75UxpPcKKO0x3GDfL1M |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ccdca3b3a684a1b3 |
|
VISUAL
aHash
|
ff18f898fc181001 |
|
VISUAL
dHash
|
0f30323020b2f1c9 |
|
VISUAL
wHash
|
fff8f898ff180001 |
|
VISUAL
colorHash
|
38000000180 |
|
VISUAL
cropResistant
|
0000000008090000,ffffffffffbfbfbf,0f30323020b2f1c9 |
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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.