Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13E235B726732B8B883DB91EEFB3C2E56B2D2948DE8C74550B5C8568D13C3C916187BB4 |
|
CONTENT
ssdeep
|
1536:ad+EsZ/80zOQDawAMCBTwiMCBmw0N2/y9dGXDiJZBlvy40hxwh:aS+7wiwZBN2aDSw0G |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9212eded4b929a3c |
|
VISUAL
aHash
|
0000040400ffffff |
|
VISUAL
dHash
|
9a848cc8a8540000 |
|
VISUAL
wHash
|
e2000c0c00ffffff |
|
VISUAL
colorHash
|
1e000e00000 |
|
VISUAL
cropResistant
|
0000080c0c0c0008,1fdeceaee6ced060,0000000000000000,8982ac8c988888aa |
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.