Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16B235BB26722B8A843DB91EEF7383D56B2D2489DF8C74454F5C95A8D13C3C812297BB4 |
|
CONTENT
ssdeep
|
768:aE+EsZx8/G8i4lDawGMjBFwkMjB8CN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAz5I:aE+EsZ/81lDawGMjBFwkMjBZN2/y9dGC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be3f2fc0c0c0236f |
|
VISUAL
aHash
|
810001ffffffffff |
|
VISUAL
dHash
|
75717139333b2961 |
|
VISUAL
wHash
|
000000ffc3c3ffff |
|
VISUAL
colorHash
|
0f007000000 |
|
VISUAL
cropResistant
|
75717139333b2961,eff3b369f1b3f3ef |
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.