Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D0A3CE23422935274437C2C5347A5B3BE1A6D99FFAE70E410EDC8BFA2AF9C60745A11D |
|
CONTENT
ssdeep
|
768:GD4pnsMUtpR4nXF6YjOpSpFlTC6rrowH4f/gJGs9cX:GD4psMUtpR4nXBKpSpFl26vnm/YGs9cX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d212ed6d9a126bc5 |
|
VISUAL
aHash
|
00002c0c0400ffff |
|
VISUAL
dHash
|
3ee4c95968070524 |
|
VISUAL
wHash
|
00263c0c2cf0ffff |
|
VISUAL
colorHash
|
1a601010040 |
|
VISUAL
cropResistant
|
0000806068680040,000080c040d00040,0000403034340020,000080c080a00080,0122c82e27082666,2a54ec4959684305 |
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.