Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A1A38A33411835274437C6D530A55B3BE2A7999FFAE70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:JRt+eQWLz4NP/y9svbliCdQjhq8FtiuCa28y2O9:RmAthqv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c362d538b529b547 |
|
VISUAL
aHash
|
00707000000000ff |
|
VISUAL
dHash
|
9cc5c3cbcc3cc1d0 |
|
VISUAL
wHash
|
44fff371240030ff |
|
VISUAL
colorHash
|
390000001c0 |
|
VISUAL
cropResistant
|
d080800130308080,dccdc3cbc9cc2cc3 |
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.