Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D72595239548A53A301383E45F397F88F38DB556CFA1018366F74675DABADE26802FD8 |
|
CONTENT
ssdeep
|
12288:gGXVSEMT1t/GYifBoC/GYifBoC/GYifBoBH1i:qt/GYifBL/GYifBL/GYifBOH1i |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b9964d3313391e33 |
|
VISUAL
aHash
|
00ffcfc7c7c3c3f3 |
|
VISUAL
dHash
|
be069e1e1a9e1212 |
|
VISUAL
wHash
|
00c3c7c7c3c3c3f3 |
|
VISUAL
colorHash
|
06000030008 |
|
VISUAL
cropResistant
|
3e861d1e9a9e1212,feac0e49898e0a09,020202b68682020a,36d487afc5cca6e6,1830b033b0d430b4 |
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 235 techniques to evade detection by security scanners and make reverse engineering more difficult.