Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B7A3CC234159752B4437C3C034AA5B3BD1A6999FFAE60A005EDCC7FA2BFACA0741B15D |
|
CONTENT
ssdeep
|
1536:MStpR4nXBKpSpFl26vVSZ4Cxejk8HRHI2l3I:zUMT0o8HRdl3I |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93696d13136c6d69 |
|
VISUAL
aHash
|
001f032e6f0f0103 |
|
VISUAL
dHash
|
ddbd3bdcdcfcb777 |
|
VISUAL
wHash
|
000f013f7f1f079f |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fd6bf9b8b8f96b4f,ddbd3bdcdcfcb777,91554585a4595995,6e878b416767674d,ea114d33330d21a8 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.