Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1523235A29400541B121685CA7657FF4B3483E2468F7E0852A794439B7AEE6F09CFF39B |
|
CONTENT
ssdeep
|
192:hSiS7oiwQcYIPhTmLY69omlU3JwyLLDfdiz36uL/2a:hSiS7oiwQ8QXmS336uzB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f16d47924f67181a |
|
VISUAL
aHash
|
00c3c3c3ffffe7ff |
|
VISUAL
dHash
|
161696961e0e4d00 |
|
VISUAL
wHash
|
00c3c3c30303273f |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
961696961a0e4d00,696169795f4ecc0e,0000343430303410,32f0cc73f0ccc828 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)