Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13EA35933411835274437C6D530B55B3BD2A69A5FFEA70A010EECD7EA2BFACA0745B11A |
|
CONTENT
ssdeep
|
768:9C1hSGLz4NP3+mZY9svblTOCVrdAraN9/OFtiuCa28y2OZL:UhrLz4NP/y9svbliCdPsFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343d53a9d2dbd08 |
|
VISUAL
aHash
|
00600000000000ff |
|
VISUAL
dHash
|
c8ccc8c8cd8dc3e0 |
|
VISUAL
wHash
|
7cf430206c6178ff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
808001343000a000,c8ccc8c8cccd8bc4 |
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.