Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1794142318445CD2B5693E2A48361DF2BA1D2C653CB0319A9A2E4A3ED97C7D84CD9428C |
|
CONTENT
ssdeep
|
24:haLHxH86tcph+Y/if6cesVUu2l8btqMV28Vjt1sVWtcYNnTnqOCmMjkiMPGcL+CM:AHhHcpRifdL6kXRx1fRCwiMucL+CDQyS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6dc997174c43199 |
|
VISUAL
aHash
|
ffffe7c3c3c3e7e7 |
|
VISUAL
dHash
|
8c140c4d0e0e4c0c |
|
VISUAL
wHash
|
42c7c3c3c3c3e3c3 |
|
VISUAL
colorHash
|
07600006000 |
|
VISUAL
cropResistant
|
8c140c4d0e0e4c0c,100c32b2b2320c10,0929696577b4da5a |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)