Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14B43D875A2B0027EA49F8FF9FCB4A7A5609A925ED1538189A3BCC3B41FC7CD4BE11450 |
|
CONTENT
ssdeep
|
768:iN7dBuTMW+BWjFs6TSCRBgNkYsVVDR2zbDbI9+j6iaj69j6njoj6eoNj6A0j60AR:mdBvaWmnHcx65Wv89JLZ77/H |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
999b26639993cc8e |
|
VISUAL
aHash
|
00003c3c3c3c0000 |
|
VISUAL
dHash
|
cc28323232303036 |
|
VISUAL
wHash
|
0687bffefcfc0000 |
|
VISUAL
colorHash
|
07010000c00 |
|
VISUAL
cropResistant
|
8e8eb2b8a28e86b0,cc28323232303036 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)