Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T174235BB26722B8A843DB91EEF73C2D56B2D2488DF8C74514F5C95A8E13C3C816197BB4 |
|
CONTENT
ssdeep
|
768:a/+EsZx8/G8i4oDawSMbBQwTMbBpwZCN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAZ:a/+EsZ/81oDawSMbBQwTMbBpwcN2/y9M |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba67c392cd929265 |
|
VISUAL
aHash
|
ffc38387c38f8fc7 |
|
VISUAL
dHash
|
49071f3537391d35 |
|
VISUAL
wHash
|
ff81819f81878f83 |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
49071f3537391d35 |
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.