Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T144E250716040693B42C3C3E6A7356B1FA383C249CF678B5562F4879DDFCADA0DD29228 |
|
CONTENT
ssdeep
|
384:zjIDpqgDlQNVKtgpruudBiNVKrdl0p/GLW8lXA25LwJ:zjIxDlKQSpruuX4Qpl0p/GLW8lTLwJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c245bd137e1c31f4 |
|
VISUAL
aHash
|
000060107d6dffff |
|
VISUAL
dHash
|
58c584b189c9f02a |
|
VISUAL
wHash
|
00006050757fffff |
|
VISUAL
colorHash
|
07006000000 |
|
VISUAL
cropResistant
|
c584b1b1c9f9f42b,81e0f0301898d80c,c8b8c2f89ef27775,dc51cd84a5b189cd,eedf9f3f3b9b99b5,7e7e3e5e2f1e1f1b |
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 47 techniques to evade detection by security scanners and make reverse engineering more difficult.