Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BB431AE93948B5120BA281D7B0AF365BB33E246F790C55F07160DEE970B8498507BF8E |
|
CONTENT
ssdeep
|
768:hyWu8n+WPy/u/sC11R5SM9XcNwGWirDLjqI/urYvL/QjwqAX8UY2uUJpZpSxHyOe:bUv6yOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f565843333a0f0f |
|
VISUAL
aHash
|
00fe1f073fffdf1f |
|
VISUAL
dHash
|
e8807b1c78603030 |
|
VISUAL
wHash
|
00fc1f070fbf0f0e |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
cc607b5c70403030,00200e7971690912,45452398c4e45945 |
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 701 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)