Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11E234B726722B4B843DB91EEE7383D56B2D2488DF8CB4510F5C95A8D23C3C916297BB4 |
|
CONTENT
ssdeep
|
768:a2+EsZx8/G804nDawwMSBYwcMSBxwZqN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAq:a2+EsZ/8vnDawwMSBYwcMSBxw0N2/y9X |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb6cc895916ce196 |
|
VISUAL
aHash
|
b98181858f8f878d |
|
VISUAL
dHash
|
6369611d5d5d5d5d |
|
VISUAL
wHash
|
f38181878f8f878d |
|
VISUAL
colorHash
|
1ec00010000 |
|
VISUAL
cropResistant
|
6369611d5d5d5d5d,f0f0b836333b3b52,816676b2b0a8a435,43ec609e9e9ede9c,0d4d3e6516262fb9,8d4633f361cb4737 |
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.