Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A5A3EC23411835274437C2D1347A5B3BD1A6C95FFAE70E014EDCCBFA6AF9CA0746A629 |
|
CONTENT
ssdeep
|
768:wB0tpR4nXF6YjOpSpFlTC6rrIlSIrQzD5nUSd0X:wB0tpR4nXBKpSpFl26vgaD5nUSqX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f40ec6c9213c76d |
|
VISUAL
aHash
|
98303c3e1c3012bf |
|
VISUAL
dHash
|
206768687865667c |
|
VISUAL
wHash
|
b8313c3e1c301ebf |
|
VISUAL
colorHash
|
17c00000080 |
|
VISUAL
cropResistant
|
0000806060600040,0000806060c00040,0000206060600040,0080a0c0a0800000,6000000000000000,306768687865667c |
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.