Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1012375B8235C3E2DA41BC6E4F725B755235DA282F95BD16C85BC67A01BC7C84FC2B980 |
|
CONTENT
ssdeep
|
768:fDDDDOLW6rlPL13jjjjWDDDDCDDDDSDDDDpDDDDrmykaNcFK:fDDDDOvljBjjjjWDDDDCDDDDSDDDDpDB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0966dc739924c6d |
|
VISUAL
aHash
|
3cffd7cfc3ffcf81 |
|
VISUAL
dHash
|
786cbc9c87c09e27 |
|
VISUAL
wHash
|
3c1e0747417f7e00 |
|
VISUAL
colorHash
|
07003018040 |
|
VISUAL
cropResistant
|
786cbc9c87c09e27,008040404041a080 |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.