Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B5833BF1E2B052B9018BE3D4FA367728335791FADB8287D582D4DF986E86C48DC57884 |
|
CONTENT
ssdeep
|
768:7vc34SiXM/JpfLV0Gfr4bkOs8qjZxH2QhqA/LSK3xdXmEygdlrIz5zie7tBB3UM3:7vc34SXKGfrt8qt0QwAeK3ftrAxPE+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1394e4e333b4959 |
|
VISUAL
aHash
|
00cfcbc7cfffffff |
|
VISUAL
dHash
|
791e9b9b9a623373 |
|
VISUAL
wHash
|
00cbc1c1c3bbd9bb |
|
VISUAL
colorHash
|
07000200038 |
|
VISUAL
cropResistant
|
791e9b9b9a623373,041a5a7a3a1a5a04,6e2d7b6002030783 |
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.