Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17A810FB06488E86B0143E6D7E919BB0D35D545FEEAA7232115F41EAD3AF3C34CE29105 |
|
CONTENT
ssdeep
|
48:tBF4Lc7gkDQsuSitPosDwxJ3kSYLAkztjZxgbfwz7nFmHCKj2/otxSfods2iYYMq:SLQnDQGit4pk3Lb/c8AwwHS2Txq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc996633316731cd |
|
VISUAL
aHash
|
003c381818003030 |
|
VISUAL
dHash
|
3372723032106460 |
|
VISUAL
wHash
|
ff3c3e3e1824303c |
|
VISUAL
colorHash
|
38000c00000 |
|
VISUAL
cropResistant
|
3372723032106460 |
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 190 techniques to evade detection by security scanners and make reverse engineering more difficult.