Malware Insights
The PDF contains embedded links that redirect to malicious infrastructure, specifically `https://ttraff.cc/pify?keyword=german+a1+vocabulary+list+pdf`. This redirector is likely used to phish for credentials or deliver a secondary payload. The document body text, though partially corrupted, contains the same lure text as the malicious URL, suggesting a social engineering attempt to trick the user into clicking the link. No scripts were extracted, but the presence of multiple malicious links and the ML classifier's high confidence indicate a malicious intent.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 5
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PDF links to known malicious redirector infrastructure critical PDF_MALICIOUS_REDIRECTOR_LINKPDF 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.
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Small PDF contains mass external PDF link farm critical PDF_SEO_LINK_FARMSmall 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.
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Image lure linking to an SEO redirector (free-download phishing) high PDF_SEO_UTM_REDIRECTOR_LINKPDF 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.
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Object number defined twice with different bodies info PDF_DUPLICATE_OBJ_BODY_INCREMENTALThe 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.
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Embedded URL info EMBEDDED_URLOne 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://ttraff.cc/pify?keyword=german+a1+vocabulary+list+pdf In PDF document text
- http://files.hubcapburger.com/uploads/1/3/2/7/132740814/suguwidazefige-bekilusakaduwig-japufemif-wofavurumunufoz.pdfIn PDF document text
- http://files.stevenhendricks.net/uploads/1/3/1/8/131857193/d1c2d6b9d5.pdfIn PDF document text
- http://files.mattyoungactor.com/uploads/1/3/0/7/130739811/2018040.pdfIn PDF document text
- http://files.carolynburkestl.com/uploads/1/3/0/8/130814342/wewasuruxegate_lufuza_tozijizavesifu_sofogaxeb.pdfIn PDF document text
- http://files.dogwoodstudiosnc.com/uploads/1/3/0/7/130739318/5ec476c97.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/1135/0439/files/rotalaju.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/0126/6851/files/60918941990.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/1811/5480/files/xoboxitux.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/2995/4721/files/wipig.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/4742/6975/files/wavepad_tutorial.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/1312/8863/files/craigslist_fresno_free_stuff.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/9151/6826/files/63729945916.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/1705/1039/files/realtek_usb_2._0card_reader.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/4111/1716/files/munukabupiwokewimifewojo.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/4234/0007/files/42367215477.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/8598/6982/files/55839352768.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 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off0000574e.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x574E | 5684 bytes |
SHA-256: b65c43decd264a2c382228dc819decd8ff7ef6313f3afdc047a7eb3ff176d876 |
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font_01_sfnt_off00006a95.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6A95 | 2768 bytes |
SHA-256: 71a6025baa1e2e4f60e1c3b4a07231b124d8771d76a98fa212f82183f063e1cf |
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font_02_sfnt_off0000764b.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x764B | 10060 bytes |
SHA-256: 11b39b273d135cc743873f38b454628b07edda07d43962134cfc8bd5a6836a3e |
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