Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DF235B726732B87883DB91EEF7392916B2D2988DF8C74550B1C95ACD23C3C806197BB4 |
|
CONTENT
ssdeep
|
768:al+EsZx8/G8Ur46DawUMLB4w9MLB0wZUcix+y9dQpUDF1E56ITmHDLBABW8KPqDr:al+EsZ/8UE6DawUMLB4w9MLB0wZUXx+x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9616e96932b8b996 |
|
VISUAL
aHash
|
003c3c3c3cffffff |
|
VISUAL
dHash
|
2be0e8e8ec160000 |
|
VISUAL
wHash
|
00003c3c00ffffff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
000c083969696971,e0e8e8e8d4004400,2970e0e8e8e8e8d4,0000000000000034 |
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.