Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1084265A3A502AC3F5373C5D8F7EABE6E61C7550CCA8246A262F847AD0BCCC51F4D2558 |
|
CONTENT
ssdeep
|
192:WK7aKuD+i9T0WRqa0Xks/cwOaCq9zVddRhddquISP3ZbV:x0pxia0XksEwOazqupP3v |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ac9313ec6e932cac |
|
VISUAL
aHash
|
ffffffff8181ff00 |
|
VISUAL
dHash
|
433b335323230007 |
|
VISUAL
wHash
|
ff8989f98181ff00 |
|
VISUAL
colorHash
|
07000008600 |
|
VISUAL
cropResistant
|
013b3b412323160f,0c2e9b8ece8aae54,9bbeadd9dacbba38,b715a9adbdbdfd36,00015da5a51d0100 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.