Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D9A3DA23411835274437C6D134BA5B3BE1A6895FFAE70A410EDCCBFA6BFACA0745A11D |
|
CONTENT
ssdeep
|
768:H5xBtpR4nXF6YjOpSpFlTC6rrwz0HkS0UFFQmyj5X:H5xBtpR4nXBKpSpFl26vvHkpUvdg5X |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9312ec6d69921acf |
|
VISUAL
aHash
|
00002c0c0000ffff |
|
VISUAL
dHash
|
524c69c96a622626 |
|
VISUAL
wHash
|
00343c7ca600ffff |
|
VISUAL
colorHash
|
33000c00040 |
|
VISUAL
cropResistant
|
020080e060600042,0200006060600042,020000e060600042,820080c0a0800082,86c02e2626366616,52546c69d9686a22 |
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.