Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12841A527C001561A1F8252FDBE90758CD287518FCE21CF4AA8E9D4AEB594AE40834237 |
|
CONTENT
ssdeep
|
48:9HRFC1Pu0Qtj8++F+uruOFuEcJeR/y+E+ZZhuON1HAE:9HzAPTQN8+w/rV+01E+MON1r |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8404cfed2472db9d |
|
VISUAL
aHash
|
1317070303ffffff |
|
VISUAL
dHash
|
e6f6feaef680a780 |
|
VISUAL
wHash
|
03030303037f7fff |
|
VISUAL
colorHash
|
06608010000 |
|
VISUAL
cropResistant
|
e6f6feaef680a780,f371d9d97cc29391,dcd8585c335858d8,fcf1fdfdd7dbcabc |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.