Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T131A2332012426E7F21C7D5E16332BBA6B284F601CA17971953B913593FCBCE5CCAAB71 |
|
CONTENT
ssdeep
|
384:LTTN9eKnkXxYYmuCbuoUpOuK8lPbEurMuLvbuoUPbuKXu9gNa5USVT:LvN9eK0XCKLFnzrPLvKBKKe9ggT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc3b33668c399b31 |
|
VISUAL
aHash
|
00003c3c3838003c |
|
VISUAL
dHash
|
02107070706030f0 |
|
VISUAL
wHash
|
c31c3c3c3c3c387e |
|
VISUAL
colorHash
|
38001200090 |
|
VISUAL
cropResistant
|
02107070706030f0 |
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 27 techniques to evade detection by security scanners and make reverse engineering more difficult.