Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A2A38B33411975274437C2D530B55B3BE2A6D98FFAA70A010EECD7EA1BFAC90B45B11A |
|
CONTENT
ssdeep
|
1536:+nLz4NP/y9svbliCdGxSOuFtiuCa28y2O9:YmAXp9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9247f512cd2c9c6d |
|
VISUAL
aHash
|
00200000000404ff |
|
VISUAL
dHash
|
cccc40c0cccc0d92 |
|
VISUAL
wHash
|
0cfc30781c0e0fff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
c2c3c38e8ecbc3c2,09009081303080a0,dccc48e0c8cccc0d |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.