Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EA4312F6A428717D155393C479B0BB2DD3C2F20ADF920EA114EFC639E347E75A422A19 |
|
CONTENT
ssdeep
|
768:25hnIpnj3M5NIpmitxopjR35iPoNI7Ui5RorVRG:25apnj3M5NIpmZdR0PoNI7U9xRG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b6c949364b4f4b34 |
|
VISUAL
aHash
|
bfffffff87878783 |
|
VISUAL
dHash
|
69160e271d1e2f3f |
|
VISUAL
wHash
|
00c7e7f787878383 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
69160f271d0e2f3f,f0f0e098f9e9d0f0,4020d0d0d0d02040,070606c6ce120604 |
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.