Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14F234AB26722B8A843DB91DEE7383D56B2D2489DF8C74514F5C95ACD23C3C812297BB4 |
|
CONTENT
ssdeep
|
768:aK+EsZx8/G8J4kDawHMhB3weMhB2wZCN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAZ:aK+EsZ/8KkDawHMhB3weMhB2wcN2/y9M |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aef2e494919c9399 |
|
VISUAL
aHash
|
8581998199819981 |
|
VISUAL
dHash
|
4571697171753367 |
|
VISUAL
wHash
|
ff819d8199999b81 |
|
VISUAL
colorHash
|
09001000180 |
|
VISUAL
cropResistant
|
4571697171753367,aaa44a33338080a2,2020400100028300,f4716870f0b2b2aa |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.