Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10B335C726631B8AC83DF52EDE7382E4AB2C6949DE8C74550F5C9968D23C7CD022877B4 |
|
CONTENT
ssdeep
|
1536:ay+EsZ/85tNDVRvMjBaRtMjBrDrpRXPZlQaQD9OehM+BrUgq4z:anORTRGDrpR/PkEeDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e94b9636186f6949 |
|
VISUAL
aHash
|
85fff999d9b1b3ff |
|
VISUAL
dHash
|
6d53533333636319 |
|
VISUAL
wHash
|
00f9f9898181b3ff |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
6d53533333636319,b0b4a4a424244840,6b0743746f37ce4d |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.