Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T181D2A33264091C1FA32A9780D3D1F76F9785D142EE250E40EAA81FEEEA91F64F53325C |
|
CONTENT
ssdeep
|
384:ACIGBU07HQczpi/eCsmxwCeja5Vc4z8scg33ftd/bvCMse:ACIGBUOwczKsMse |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1314c99cb479b6c |
|
VISUAL
aHash
|
00c3c3e7e7ffe3e3 |
|
VISUAL
dHash
|
9e968e4d96988686 |
|
VISUAL
wHash
|
00c3c3e7c3cfc3c3 |
|
VISUAL
colorHash
|
06200038000 |
|
VISUAL
cropResistant
|
9e968e4d96988686,b33a722b393188cc |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.