Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B1934CF1A1B051BA014BE3D4FA327B19724762F9DB9647D581E4CF986F8BC48DC1B884 |
|
CONTENT
ssdeep
|
768:9vc34SiXM/JpfLV2F8fr4bkO584p/xH2QpQzLpK3xdXmEygdlxRIz5zie7tBB3U+:9vc34SX4F8fru84Z0Q2pK31tbAxPE+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b9794e0e39594b49 |
|
VISUAL
aHash
|
00ffc9cfcfcfffff |
|
VISUAL
dHash
|
3916939b9a3a23f3 |
|
VISUAL
wHash
|
00cbc9cbcb8381ff |
|
VISUAL
colorHash
|
07000200038 |
|
VISUAL
cropResistant
|
3916939b9a2a23f3,041a5a7a3a1a5a04,8f87016165e11104 |
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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.