Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T156E186F0A004540B0117C1CE66D3BB4A6493E3828F15587566E9876BBACFEF0DCB63E2 |
|
CONTENT
ssdeep
|
96:nvnVmBB5BeIR1J4EDsJsrBDDUCePhxge5sqz6b7CjTQ1+LQ9:vnVCBXowBDACiPgaHz6b+VG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b030303476d9dfc7 |
|
VISUAL
aHash
|
c3c3ffe7e7ffffff |
|
VISUAL
dHash
|
9e96000e4d000400 |
|
VISUAL
wHash
|
0303030307070f0f |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
9e96000e4d000400,07070723db9a939b |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.