Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17FF27432A155DE3B80A7D2E5E3A5632B32D2938AC946034583FD83BD0FEBD84FD26554 |
|
CONTENT
ssdeep
|
768:Qvarx2oBvIplyqlPoAdeY5ZSfsQguV6HNBzyTZhH:Q0BvIp3QguV6HNJMX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c1f63e3ca4949695 |
|
VISUAL
aHash
|
46607e62600e0428 |
|
VISUAL
dHash
|
c4caccc4d2b898d9 |
|
VISUAL
wHash
|
4660fefa720e0e39 |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
c4caccc4d2b898d9 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.