Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C0A37933411975274437C6D030A95B3BE2A69D5FFDA70A010EECD7EA2BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:wLz4NP/y9svbliCdwkyFB8/FtSuCa2GG2AY:umA5F4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343b53e9c2cc563 |
|
VISUAL
aHash
|
00002000000000ff |
|
VISUAL
dHash
|
c8c8c8c0ccc7e79c |
|
VISUAL
wHash
|
40ec70782c7703ff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
0480810018108080,ccc8c8c2e8cdc70e |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.