Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T114134B726732B87843DB92DEE7392946B2C5949DF8C74514F5C99ACD23C3C806287BB8 |
|
CONTENT
ssdeep
|
768:aU+EsZx8/G8sxDVwbM6Bwow3M6Bwk3Ucix+y9dQpUDF1E56ITmHTCd3m6DPqDv7p:aU+EsZ/8MDVwbM6B5w3M6BX3UXx+y9d5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee6e95942ec0d13a |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
6961414545000000 |
|
VISUAL
wHash
|
8101018181ffffff |
|
VISUAL
colorHash
|
1e0002c8001 |
|
VISUAL
cropResistant
|
6961414545000000,42e8e221ccc8aa84 |
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.