Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T187A3AB27426935274477C2C034BA5B3BD1B6899FFAE70A011EDCCBFB2AF9C91741A119 |
|
CONTENT
ssdeep
|
768:3LtpR4nXF6YjOpSpFlTC6rrx24IrdFbRxv8dX:3LtpR4nXBKpSpFl26vidtRxAX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d252ec6d92134bcd |
|
VISUAL
aHash
|
00002c0c0400ffff |
|
VISUAL
dHash
|
0464684949083224 |
|
VISUAL
wHash
|
c0f43c2c0c00ffff |
|
VISUAL
colorHash
|
390000001c0 |
|
VISUAL
cropResistant
|
000080e060600040,0000006060600040,000000e060600040,000080c080a00080,0022d82e261c3666,00046c6959494830 |
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.