MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
The PDF contains a large number of embedded links, many pointing to Shopify domains, but one critical link directs to a known malicious redirector. The document body, though heavily obfuscated, appears to contain text related to 'hollywood movies list pdf', suggesting a lure to entice users to click the malicious link. The ML classifier strongly flagged this PDF as malicious, indicating a high likelihood of 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.com/wb?keyword=all%20hollywood%20movies%20list%20pdf In PDF document text
- http://rolotaxix.mckinneysfoodcenter.com/uploads/1/3/0/8/130874493/32dfc67c9e56273.pdfIn PDF document text
- http://wevafer.artistsusiewest.com/uploads/1/3/0/7/130738902/vijujega_nunamuj_bovapipabager.pdfIn PDF document text
- http://files.ruralgis.com/uploads/1/3/0/7/130776022/refotobidev-bosaje-lojurimukokes-kawusivibu.pdfIn PDF document text
- http://xesiseba.somersetohio.org/uploads/1/3/0/8/130813077/gusux_gifasosi_fotawu_pomujojakir.pdfIn PDF document text
- http://files.352coaching.com/uploads/1/3/0/7/130738836/c2bbac4e1d2cf.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/1/0434/1461/8277/files/42038109007.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/7026/7300/files/vojomuz.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/8560/1695/files/fezukurerosezab.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/7992/4902/files/98819740758.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/8606/2495/files/we_are_fighting_dreamers_lyrics.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/8488/1827/files/bijagaruxadelelajux.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/9963/4328/files/lonumebiri.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/6523/6886/files/58593492798.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0447/7770/1533/files/craigs_list_hermosa_beach.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/5725/8402/files/36813859262.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0444/8750/8135/files/skripsi_marketing_public_relations.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/1814/1347/files/40715070878.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/3866/2053/files/77945998824.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/3355/8168/files/vepiwixekulo.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_off0000697a.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x697A | 5220 bytes |
SHA-256: da39fdd237f4308995c4a147acb5b70803c7700c29d87fd6fcae2e5c773bbb6b |
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font_01_sfnt_off00007b45.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7B45 | 10580 bytes |
SHA-256: 7371818bab5d12d1f4212cc3cc6dfed71f38f8ce64d3c22f854cb8842a47d10d |
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