MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1204.002 Malicious Link
The PDF contains numerous embedded links, with a critical heuristic firing indicating a link to known malicious redirector infrastructure. The document body, though heavily obfuscated, contains text related to 'anti collision system for trains project pdf' and the malicious URL, suggesting a lure. The ML classifier strongly flagged this PDF as malicious. The primary attack vector appears to be directing users to the ttraff.com domain.
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+collision+system+for+trains+project+pdf In PDF document text
- http://files.lilscholarspreschool.com/uploads/1/3/1/4/131453278/xakaver-vurim-rukidizuwelama-butopuke.pdfIn PDF document text
- http://files.azprint115.com/uploads/1/3/2/7/132740723/tuxusasuluwagek_kuxiwatad_jegowuterijifid_ratidaravez.pdfIn PDF document text
- http://files.jilicm.net/uploads/1/3/1/4/131438316/torivo.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/1/0431/0790/9781/files/basic_anatomy_and_physiology_of_respiratory_system.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/7355/1001/files/media_query_tablet.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/3011/7542/files/airliner_world_december_2020.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/4225/8587/files/good_practice_guide_cold_chain_management.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/8815/0690/files/73780582993.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/8148/2919/files/rupegoz.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/5819/1768/files/poxuzot.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/8904/4383/files/xodepabizugud.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/5398/9534/files/12606104937.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/6413/0725/files/14097386091.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/8940/3810/files/8th_grade_vocabulary_book.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/9780/8285/files/61521813323.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/4777/8469/files/keras_confusion_matrix.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/4066/9849/files/64524198655.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_off00006668.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6668 | 5468 bytes |
SHA-256: 87ba06ab40486a510f7a77f3d3bdacb13831f76713726ed5c0a463b01e93454e |
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font_01_sfnt_off000078e7.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x78E7 | 9860 bytes |
SHA-256: ae8271e5bfbec2a46097edaadc7a84572036f7ddb34e025e9aa75e0648205c5a |
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