Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CFB3FE23411976274433C2C1346A5B3BD1B6D99BFAE70A410EECC7FA2BF9CA0741B55A |
|
CONTENT
ssdeep
|
1536:sA2wtpR4nXBKpSpFl26v7o8qfgxccUgmf:3UMPozUgmf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9712ede8708ceb61 |
|
VISUAL
aHash
|
0004040400ffffff |
|
VISUAL
dHash
|
1c5ccc1c0c0c002b |
|
VISUAL
wHash
|
00040404e6ffffff |
|
VISUAL
colorHash
|
0b200000c00 |
|
VISUAL
cropResistant
|
2852caeb11202080,0000408080400000,000041a121410000,00204020a0004000,8a9a16b2d872d6b6,0c000956562b2b0b,985cdccc1cdc0c0c |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.