Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12EA37933411935274037C6D530A55B3BD2A6D95FFAA70A010EECD7EB2BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:gBLz4NP/y9svbliCd7udmFtiuCa28y2O9:UmAGE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c367bc389d49c70a |
|
VISUAL
aHash
|
00002020000000ff |
|
VISUAL
dHash
|
044cccc6ccccc3b8 |
|
VISUAL
wHash
|
c0eef662042079ff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0300a08138188090,840cccc6c8cccdc3 |
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.