Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19862E83B264853FF276693C0D7EA34CAD3016006EB968658FA6CC29D23C2FF6553165E |
|
CONTENT
ssdeep
|
192:QfnPMHAKK4WbHnADBK5EduaWF21/vwu2V1:vHAIWagIfu1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c73d308ecb356499 |
|
VISUAL
aHash
|
003c7e3c3c3c3c00 |
|
VISUAL
dHash
|
86c8c4e8e8e0d4c4 |
|
VISUAL
wHash
|
003c3e3e7e7e7e00 |
|
VISUAL
colorHash
|
18007000000 |
|
VISUAL
cropResistant
|
9455556a96ad0c49,86c8c4e8e8e0d4c4 |
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 628 techniques to evade detection by security scanners and make reverse engineering more difficult.