Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T102235B726322B8A843DB91EEF7382D56B2D2989DF8C74414F5C95ACD23C3C912197BB4 |
|
CONTENT
ssdeep
|
768:aw+EsZx8/G8H4pDawJMSB6wcMSBbwZqN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAq:aw+EsZ/8YpDawJMSB6wcMSBbw0N2/y9X |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e9699636392a6d49 |
|
VISUAL
aHash
|
85fbf999d9b1ffff |
|
VISUAL
dHash
|
6d5313333363631b |
|
VISUAL
wHash
|
00f9f9898181b3ff |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
6d5313333363631b,630703746f378f4d |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.