PDF malware analysis — malicious · 289b8542b8262014

MALICIOUS

PDF

2.6 KB

MD5: 331af8b49a5fdedf249b9b2cee8c9c32 SHA-1: 633f3caa2a45187c36801d2975c36f2e7f0e486d SHA-256: 289b8542b826201407dba7a26085a1e0fc10f13c3b58ee40e93f26fcd55c35ef

138 Risk Score

Malware Insights

MITRE ATT&CK

T1204.002 Malicious File T1059.001 PowerShell

The PDF file contains an embedded JavaScript file and exploits CVE-2010-0188, a known vulnerability in Adobe Reader related to LibTIFF XFA image parsing. The embedded JavaScript, 'acroform_b64_00.js', is likely responsible for downloading and executing a secondary payload, as indicated by the 'Pdf.Exploit.Dropped-90' ClamAV detection. The attack pattern involves luring the user into opening a malicious PDF that triggers an exploit, leading to further compromise.

Heuristics 5

Adobe Reader LibTIFF XFA image exploit — CVE-2010-0188 critical CVE likely CVE_2010_0188

PDF contains XFA image data with an inline crafted TIFF payload and shellcode/delivery markers. This is the data-bound variant of the CVE-2010-0188 Adobe Reader LibTIFF/XFA exploit shape.
ClamAV: Pdf.Exploit.Dropped-90 critical CLAMAV_DETECTION

ClamAV detected this file as malware: Pdf.Exploit.Dropped-90
Embedded file low PDF_EMBEDDED

PDF embeds a file attachment — could carry an executable or another weaponised document as a nested payload
XFA form low PDF_XFA

PDF uses XML Forms Architecture — can contain script logic
Suspicious extracted artifact info EXTRACTED_FILE_STATIC_TRIAGE

One or more files extracted from inside this sample matched static suspicious-content checks such as script obfuscation, encoded payload blobs, packed data, or execution/download terms.

Extracted artifacts 2

Files carved from inside the sample during analysis.

Filename	Kind	Source	Size
`embedded_file_obj0001.bin` `691f85fbb3f18adac194835085edd608e98e8495190eafd4808ea51b5570675d`	pdf-embedded-file	PDF EmbeddedFile object 1 at offset 0x5D	13473 bytes
Detection ClamAV: No threats found Obfuscation or payload: likely Carved artifact contains 1 long base64-like blob(s).
`acroform_b64_00.js` `288191ff15dd13b6c488305db011c65e7988832048eee29083fe3676af3100f0`	deobfuscated-js	PDF AcroForm base64 (decompressed) at offset 0x58A	8730 bytes

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