Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T186334C726771B8A882DB51EEEB382E49B2C6459DECC74550F1C996CD23C7C902287BB4 |
|
CONTENT
ssdeep
|
1536:a/q+b+EsZ/8DLNDVR0MjBqRhMjBfrpRXPZlQaQD9OehM+BrUgq4FJ:a/q+kURkRwrpR/PkEeDFJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be1a626a6a2f3d21 |
|
VISUAL
aHash
|
00bc8f9fff9fffff |
|
VISUAL
dHash
|
49717f7531350583 |
|
VISUAL
wHash
|
009c830b9f85f7f9 |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
49717f7531350583,0044696169691600 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)