Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E6235B726332B8B843DB91EEF7382E46B2C2549DF9C74590B5C96A8D13C3C816197BB4 |
|
CONTENT
ssdeep
|
768:aM+EsZx8/G8ihRF40DatgM7Bgot7M7BgkwZUcix+y9dQpUDF1E56ITmHDLBABW8J:aM+EsZ/8iDO0DatgM7BJt7M7BnwZUXxq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9674f94ba68605f1 |
|
VISUAL
aHash
|
000000240018ffff |
|
VISUAL
dHash
|
e0689cc4d4696114 |
|
VISUAL
wHash
|
38006e3c003cffff |
|
VISUAL
colorHash
|
0a0000001c0 |
|
VISUAL
cropResistant
|
00000c0c0c080051,0da2b2a9afaca9aa,1b5ba999b50d29a9,d97b6791a4a9b5a4,ad654aaace16d6a6,d52b2bd5c9d54b6b,55692dada9b2b2ad,9d9d52ac2a6aacad,6969084800000000,e060a8d4e4d48e69 |
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 19 techniques to evade detection by security scanners and make reverse engineering more difficult.