PDF malware analysis — malicious · 8a0dea3670964541

MALICIOUS

PDF

42.6 KB Created: 2020-11-08 01:33:09 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-01-11

MD5: aa4fddd60f2f22bd294ecbce055e21c6 SHA-1: c7e578982a75412fe946fc0edc603460b1355c42 SHA-256: 8a0dea3670964541d3ccd47d6b1af2bcf820d3acea1a07d33de3709b67dd8378

134 Risk Score

Machine Learning

Nyx PDF Classifier malicious score 1.0000

Heuristics 4

PDF links to known malicious redirector infrastructure critical PDF_MALICIOUS_REDIRECTOR_LINK

PDF contains a clickable URI to redirector infrastructure used by a known malicious PDF SEO/adware delivery campaign. These documents typically rely on user interaction and redirect chains rather than a PDF parser vulnerability.
Image lure linking to an SEO redirector (free-download phishing) high PDF_SEO_UTM_REDIRECTOR_LINK

PDF embeds an image with little or no body text and a clickable link to a multi-word utm_term / FeedBurner-proxied SEO redirector — the 'free ebook / solution-manual / document download' phishing family that ranks for natural-language search queries and routes the user into a payload/redirect chain. The PDF carries no exploit; the risk is the linked destination. Flagged structurally (image lure + SEO redirector) so it does not depend on a ClamAV/ML signature, and regardless of how many filler text pages the lure carries.
Object number defined twice with different bodies info PDF_DUPLICATE_OBJ_BODY_INCREMENTAL

The same indirect object (N G) is defined more than once with different body bytes. First-wins and last-wins readers will resolve different content, which is a parser-confusion shape used by targeted PDFs. Body-only differences are common in benign incremental updates, so severity is raised only when the duplicate carries active content.
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 https://traffine.ru/aws?keyword=computer+networks+tanenbaum+6th+edition+pdf In PDF document text
- https://tovozilulu.weebly.com/uploads/1/3/0/8/130873983/zizasutixezibu.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4368964/normal_5f8980b2a814f.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://pifakimep.files.wordpress.com/2020/11/fododuxuxinoni.pdfIn PDF document text
- https://s3.amazonaws.com/mupukesunobaga/57824833432.pdfIn PDF document text
- https://lojopuwu.files.wordpress.com/2020/11/fovafadare.pdfIn PDF document text
- https://todawofo.files.wordpress.com/2020/11/fixatukivesezesonivav.pdfIn PDF document text
- https://fanexose.files.wordpress.com/2020/11/sports_tv_apk_ios.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/5845edf5-0866-41f0-9e61-dc391775c068/kibixudegutupos.pdfIn PDF document text
- https://fojadaz.files.wordpress.com/2020/11/kubesivelexopiva.pdfIn PDF document text
- http://www.w3.org/1999/02/22-rdf-syntax-ns#In PDF document text
- http://purl.org/dc/elements/1.1/In PDF document text
- http://ns.adobe.com/pdf/1.3/In PDF document text
- http://ns.adobe.com/xap/1.0/In PDF document text
- http://ns.adobe.com/xap/1.0/mm/In PDF document text
- http://ns.adobe.com/xap/1.0/rights/In PDF document text
- http://scripts.sil.org/OFLIn PDF document text

Extracted artifacts 2

Files carved from inside the sample during analysis.

Filename	Kind	Source	Size
`font_00_sfnt_off00006634.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x6634	5604 bytes
SHA-256: `78a5cd9b35924377a08878a1a778400c42f14c3229056158984a3684a5423828`
`font_01_sfnt_off00007920.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x7920	10696 bytes
SHA-256: `8146338abbcf554c643675c00c2ddcc73a684b71cf91e3b6c50ce40743081322`

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