Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T165E185B59458A9322AB2D3DDFBF05B19F7D1878AC5430985D2E4C34E1BC7EB2EE42214 |
|
CONTENT
ssdeep
|
192:IsjKyblHtZXY4qIpJhhBK1pcVly+AURMl4l3LM:XZ+uhhB7Vw+M+RM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9bcecc3331cc3133 |
|
VISUAL
aHash
|
3c3c3c3c44043818 |
|
VISUAL
dHash
|
6161696199996060 |
|
VISUAL
wHash
|
3c3c3c3c04043c3c |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
6161696199996060,c0002820c0308088 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.