Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D323E63164C86B2B92E353C2B3506A1BE3928505E677855AF1E9876F12C4ECCC83B7DD |
|
CONTENT
ssdeep
|
768:ElzeadyMoPBXUcxT0xW97R+0lnCayXL6BVnmjDMbv7pZ0fM0oycnJm416xJEJfw:Ja4BsxWH+ECx76BVnmjDMbv7pZ00jL6N |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
946bb496eb9487c8 |
|
VISUAL
aHash
|
ff000000003e7e5e |
|
VISUAL
dHash
|
71b2f0dcc4ecacbc |
|
VISUAL
wHash
|
ff00183c007e7e7e |
|
VISUAL
colorHash
|
01000000030 |
|
VISUAL
cropResistant
|
0001016363890006,d495d35233173574,9494c0f4b4800e1e,dde1616136373393,64682a643024271a,b6f0f0f8ddc79373,b0f0d4d0ccecacdc |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.