Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C563847602826E3F108382D0832DE75AD7C2D609D77B8996E7EC435B2AC7DB0ED36164 |
|
CONTENT
ssdeep
|
1536:qUnUD6++FuSYCyvIdkr8pghSmZgSmCKjjD6qA4dlbLP3NyEVvHdRM9scjjBR4gtG:rEqR2e |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2416d2e96d496f9 |
|
VISUAL
aHash
|
00003c7e7efff1ff |
|
VISUAL
dHash
|
c493ccd0cccc23cc |
|
VISUAL
wHash
|
00003c7e7eff91c7 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
ccc8d4cccc234c0c,968fe993c4c8dcd4,4551657171694541,00454d7171414541,61999922d99b8764,6b9c96535b5b5509 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)