Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14FA3DC23421965274437C2C434AA5B3BD5A6999FFEE70E010EDCCBFA2AF9CA0745B11D |
|
CONTENT
ssdeep
|
768:RctpR4nXF6YjOpSpFlTC6rrRTTNGcngOgAesX:RctpR4nXBKpSpFl26vWcgOgAxX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9313ec6db8124acf |
|
VISUAL
aHash
|
00002c0c0000ffff |
|
VISUAL
dHash
|
526469d96a628e24 |
|
VISUAL
wHash
|
00243c6cae20ffff |
|
VISUAL
colorHash
|
32000640040 |
|
VISUAL
cropResistant
|
000080e060600040,0000006060600040,000020e060600040,0000a0c0a0a00000,8402d82c26162666,52446949d96a6286 |
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.