Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17B92F96B91C4242D01C320A5FB117EAFC47C855CA2B59364EEEE95C796F18B0C37B2DA |
|
CONTENT
ssdeep
|
384:Rxmd2Qbuw6bnU84bYgysHb1rXyYkJHS7caYUxfpwYeh8JlXmp:Rxmd2QbuwAHgysRyYqHlGgh8+p |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba39e6c64688a9ec |
|
VISUAL
aHash
|
bd049b18e4ffffff |
|
VISUAL
dHash
|
79393339c9926161 |
|
VISUAL
wHash
|
9f008b18c0ffb9b9 |
|
VISUAL
colorHash
|
08000000180 |
|
VISUAL
cropResistant
|
79393339c9926161 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.