Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15AF1F7F75214832D5583D1ACEF63F490838DE0AFE25AD990E6AD837915EBCD0F617910 |
|
CONTENT
ssdeep
|
96:TGbkLSS2OStl1Wk+wg2+3wehaBQ8VjKx3NuZkTmB0qMcSPWSic/Coa:abiSHtlU2jywAcQSyUZxBcFL/W |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9cbd236666c0ccd9 |
|
VISUAL
aHash
|
839fdfdc18181000 |
|
VISUAL
dHash
|
0e32b2b0b0b5b5ad |
|
VISUAL
wHash
|
c7dfdffc1c5c0000 |
|
VISUAL
colorHash
|
332c2000000 |
|
VISUAL
cropResistant
|
a2033561252581aa,0e32b2b0b0b5b5ad |
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.