Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F173747622426A3F108342D1A39CE369E3C6D609C7E7498ADBEC835F67C6DE0DD35164 |
|
CONTENT
ssdeep
|
1536:ocCz7OLDcJd0I4hfKmAyg0LoGd1Tfp0Ol:DTTtjTWOl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e050a6be367cb4d2 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
8ccb83138c33230c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
21da98d9d1d9989a,3626e52d0deacdc5,b3b67395b5194b4b,38789d9c8c8c8d8f,050238272724070c,848fc9c98b23338f |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.