Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T131235BB26722B8A843DB91EEE73D2D55B2C2489DF8C74414F5C95ACE23C3C816197BB4 |
|
CONTENT
ssdeep
|
768:au+EsZx8/G864rDaw+MZBHwIMZBOqN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAz5G:au+EsZ/89rDaw+MZBHwIMZB3N2/y9dGQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc6392c3e390d363 |
|
VISUAL
aHash
|
ff838383839f9f9f |
|
VISUAL
dHash
|
4c2a223626303030 |
|
VISUAL
wHash
|
ff018183819f1f1f |
|
VISUAL
colorHash
|
07000000e40 |
|
VISUAL
cropResistant
|
4c2a223626303030 |
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.