Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T137A38A33411935274437C6D530A55B3BE2A69E4FF9A70A010EECD7FA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:CB/Lz4NP/y9svbliCdRKi0/1FtiuCa28y2O9:KmAri0/W |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
926bec128d6d924f |
|
VISUAL
aHash
|
00800000040400ff |
|
VISUAL
dHash
|
09094b4bc94c33f8 |
|
VISUAL
wHash
|
c0effb092c0e00ff |
|
VISUAL
colorHash
|
31400038000 |
|
VISUAL
cropResistant
|
fefeffdfdffffffe,6004a08138308090,0d094b4b43cddc33 |
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.