Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C0A37A33411935274437C6D530A55B3BE2E69A8FFAA70A010EECD7FA1BFAC90745B11A |
|
CONTENT
ssdeep
|
1536:QyLz4NP/y9svbliCd8E/Lv/7WQFtiuCa28y2O9:VmAdy7WT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2478532b53d966d |
|
VISUAL
aHash
|
00302000000400ff |
|
VISUAL
dHash
|
ccc0c0caccccc3bc |
|
VISUAL
wHash
|
267c7060440ef5ff |
|
VISUAL
colorHash
|
31038000000 |
|
VISUAL
cropResistant
|
000080015c5880a0,ccc0c4c0c8ccccc3 |
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.