Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FFA3DD23411935274837C2C1347A5B3BD1F6999BFAE70A410EECCBFA2AF9C90746B159 |
|
CONTENT
ssdeep
|
1536:9bytpR4nXBKpSpFl26vBiZ64EjjI71trtRG:oUMD4Ixtrts |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9212e97873ed6d41 |
|
VISUAL
aHash
|
0004040400ffffff |
|
VISUAL
dHash
|
f9ecececcc3c022b |
|
VISUAL
wHash
|
000e060604ffffff |
|
VISUAL
colorHash
|
0b002000c00 |
|
VISUAL
cropResistant
|
a24c4cd2d26b0904,0010408090204080,8001619181610180,8000408090400080,888a44caa89d8880,bc000956572b2b2b,d1fdecccececccfc |
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.