Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11F931AB51345667F100383F4E758E62BD385EA49EB638D46E3E8C31BA5C9CF8CD2449A |
|
CONTENT
ssdeep
|
768:X+Upk9gkAo034QP8g7Qwn/wgQ8AcYXXJUpk9gkAo034QP8g7Qwn/wgQ8AcYXXyLa:xfNLm0CRfrZ810UXYJsLnuoSfQqlY03 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ee7c3b098a498 |
|
VISUAL
aHash
|
fb819f9fdfffffff |
|
VISUAL
dHash
|
432b3430b4d43896 |
|
VISUAL
wHash
|
00001e1e5e1effe7 |
|
VISUAL
colorHash
|
07180000200 |
|
VISUAL
cropResistant
|
432b3430b4d43896,5a9989cbcd4d45e5 |
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)