Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C4936933411935274437C6D130B95B3BE2A6995FFAA70A010EECD7FA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:hpLz4NP/y9svbliCdmMEV+9FtiuCa28y2O9:hJmAloO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d343b532bc2c946d |
|
VISUAL
aHash
|
00202000000400ff |
|
VISUAL
dHash
|
dcc8c0c2ccccc3bc |
|
VISUAL
wHash
|
06746060640effff |
|
VISUAL
colorHash
|
31038000000 |
|
VISUAL
cropResistant
|
000080015c5880a0,9cc8c8c0c8ccccc3 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)