MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF contains numerous embedded links, with a critical heuristic identifying a redirector link to 'ttraff.com' associated with a lure for 'anti virus smadav 2019'. This suggests a phishing or malware distribution attempt. The ML classifier strongly supports the malicious verdict. No scripts were extracted, but the document body and heuristics indicate a link farm strategy to direct users to potentially malicious sites.
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/pify?keyword=anti+virus+smadav+2019 In PDF document text
- http://kojowogij.vintageedinburgh.com/uploads/1/3/0/7/130776102/jexokasewazelar.pdfIn PDF document text
- http://fusasix.hillsburghbaptist.com/uploads/1/3/0/7/130775075/d1fe62.pdfIn PDF document text
- http://files.lgbtqdemsmoco.org/uploads/1/3/1/0/131070313/lodesijijin.pdfIn PDF document text
- http://files.quentaron.com/uploads/1/3/0/7/130775747/gegivekizuxutokuv.pdfIn PDF document text
- http://files.estruckmuller.eu/uploads/1/3/2/6/132682989/vebimufebo.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/1/0428/8072/9251/files/brkform_och_blandad_form_elevspel.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/0826/1276/files/abstract_test_samples_with_answers.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/0437/0842/files/tobibilojiron.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0350/1989/files/55462766621.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/2630/0575/files/xegalavi.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/3966/1981/files/caracteristicas_del_temperamento_sanguineo.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/5345/7320/files/68535078282.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/8492/3555/files/87714543000.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/3874/4476/files/nisitap.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/1024/2198/files/blackberry_android_phone_latest.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/1085/0979/files/topographic_anatomy_of_man.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_off000057cf.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x57CF | 5472 bytes |
SHA-256: 568176e81490cbce6069eaf6e275709f9d870b921e4930769f4dca814f1080da |
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font_01_sfnt_off00006a4f.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6A4F | 9732 bytes |
SHA-256: ba0febf7dffc1631c30b4bb3392e56568d58cbac7f1e1f0068e9dd678c4bc810 |
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