Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D7B30F23421825274437C2D134AA5B3BE1B6D98FFAE709414EECC7FA2BFAC90745B159 |
|
CONTENT
ssdeep
|
768:fyO/tpR4nXF6YjOpSpFlTC6rrWkOnIU3XQz9lC67YmFiQowk6eG:fy0tpR4nXBKpSpFl26vxuJ0bFiT1jG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9752ece931e8ec03 |
|
VISUAL
aHash
|
0004040404ffffff |
|
VISUAL
dHash
|
1c8ccccccc2c022b |
|
VISUAL
wHash
|
0006060606ffffff |
|
VISUAL
colorHash
|
0b0000006c0 |
|
VISUAL
cropResistant
|
52540c8240809040,000141a121510100,80004080a0400080,889616a2da5214b6,0c0015562b2b2b2b,811ccccccccccc4c |
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.