Malicious PDF — malware analysis report

Static analysis result for SHA-256 558f468871836e15…

MALICIOUS

PDF

47.2 KB Authoring application: LibreOffice First seen: 2020-09-07
MD5: baf35d591c274bd9eaa8fcd597df32fa SHA-1: f7e7f0a1db068e375f403c58685313cf9b7c6c6b SHA-256: 558f468871836e15a0288b4b68ead54fd676bb61f0785d886758eba8e22ebb4a
192 Risk Score

Malware Insights

MITRE ATT&CK
T1566.002 Spearphishing Attachment T1059.001 PowerShell

The PDF file contains a large number of embedded URLs, identified by the PDF_SEO_LINK_FARM heuristic, which is indicative of a link farm or phishing lure. The ML classifier and ClamAV detection strongly support its malicious nature. The document body, though partially obfuscated, contains references to 'Brookfield school chesterfield ofsted report' and lists numerous URLs, suggesting a phishing or redirection attempt.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9999

Heuristics 4

  • ClamAV: Pdf.Phishing.TtraffRobotInstall-7605656-0 critical CLAMAV_DETECTION
    ClamAV detected this file as malware: Pdf.Phishing.TtraffRobotInstall-7605656-0
  • Small PDF contains mass external PDF link farm critical PDF_SEO_LINK_FARM
    Small PDF contains many clickable external PDF links, mostly clustered on one host. This matches generated SEO/link-farm PDF carriers used to route users into malicious or unwanted-software delivery chains, rather than a normal document citation pattern.
  • PDF link to algorithmically-generated URL high PDF_RANDOM_URL_LINK
    PDF contains a clickable HTTP(S) link whose host looks algorithmically generated (pronounceable-random labels) and whose path/query carries a long high-entropy token. This is the randomized-redirector pattern of malspam phishing lures — the visible document is only a prompt — not a PDF parser vulnerability.
  • Embedded URL info EMBEDDED_URL
    One or more URLs were extracted from the document. The URL itself is not a detection — see the per-URL labels for which channel (macro, JS, link annotation, document body, ...) reached each URL.
    URL http://gimax.samba-careers.online/uploads/2020/01/29/1237987.pdf In PDF document text
    • http://bluebirdconcreteliftingandrepair.com/uploads/1/3/0/5/130588999/7962946.pdfIn PDF document text
    • http://suzannefife.com/uploads/1/3/0/3/130313167/tasik_sakafozi_nezaxabubun_fimizisugavi.pdfIn PDF document text
    • http://ncphotgraphy.com/uploads/1/3/0/6/130620391/4347148.pdfIn PDF document text
    • http://barnesjewelersonline.com/uploads/1/3/0/6/130604631/texoworifidad_kabizaginexa_gegunagelib.pdfIn PDF document text
    • http://pachacea.com/uploads/1/3/0/6/130605222/6020473.pdfIn PDF document text
    • http://regexecution.net/uploads/1/3/0/4/130488839/balulim_fanudumada.pdfIn PDF document text
    • http://eloyjrojas.com/uploads/1/3/0/6/130603905/guvuvu.pdfIn PDF document text
    • http://bethmccash.com/uploads/1/3/0/5/130588786/197794.pdfIn PDF document text
    • http://safeportdesign.com/uploads/1/3/0/6/130604251/xigefok-metiru.pdfIn PDF document text
    • http://thehnossaproject.com/uploads/1/3/0/5/130550847/130550847.html#brookfield+school+chesterfield+ofsted+reportIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • http://dejavu.sourceforge.netIn PDF document text
    • http://dejavu.sourceforge.net/wiki/index.php/LicenseIn PDF document text
    • https://fedoraproject.org/wiki/Licensing/LiberationFontLicenseIn PDF document text

Extracted artifacts 3

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off000012cd.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x12CD 8796 bytes
SHA-256: afe175172639acb0e8cf5ec020a0df98bcde00127eb7de3ab5a1fef93ac518c2
font_01_sfnt_off0000693e.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x693E 16036 bytes
SHA-256: 779aa567746046747dac965df7fdfb06ff632674a0a99ce247a327bf89f0fa63
font_02_sfnt_off00007d63.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7D63 2648 bytes
SHA-256: 2c32c498f23db3cae400dac070c72b38d41a5d5dbe5041cbe08e7cee44e1acfd