Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17DA35933411935274437C6D530B95B3BD2A6994FFAE70A010EECD7EA2BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:PO3Lz4NP/y9svbliCdKl5XFtiuCa28y2O9:gmAnc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d367f532d5299049 |
|
VISUAL
aHash
|
00200000000000ff |
|
VISUAL
dHash
|
1c4d42c0e91d61f0 |
|
VISUAL
wHash
|
c3ff38383c0c00ff |
|
VISUAL
colorHash
|
39038000400 |
|
VISUAL
cropResistant
|
696100a1383080a0,1c4d42c0c0e91d61 |
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.