Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T110D2CD328451692B836383C09671731EA3C3861BCE634B426BF5C79E6FCBE5ADC25719 |
|
CONTENT
ssdeep
|
192:PUOCmmCDDGuw+Pa/f8+PBvmC4AtXjjj+jjjjjFwWuL/J0vjLSkqIjtao1SlkvXy5:fb/5wfUlAteiLe/SkNSsCysKWvX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eda91356d212ec47 |
|
VISUAL
aHash
|
fdfbf3f1f09000ff |
|
VISUAL
dHash
|
89d223232323cc24 |
|
VISUAL
wHash
|
00fbf3f1f09000ff |
|
VISUAL
colorHash
|
07000c00000 |
|
VISUAL
cropResistant
|
0912e32323222323,f0e8c9f930f8f870,0000000000000000,004030c8c8300000,d22323222323ccec |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.