PDF malware analysis — malicious · 6a660ac014218a36

MALICIOUS

PDF

46.8 KB Created: 2020-10-27 05:01:30 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-02-23

MD5: edfc4bd000074cf8e4a1868336cd6d0e SHA-1: ea414b8a835c18d03e13e4a900a1616b8af1a2f8 SHA-256: 6a660ac014218a365c3ebaff8b971c291f1a2e1b1d793d84302204abaaae279e

194 Risk Score

Machine Learning

Nyx PDF Classifier malicious score 1.0000

Heuristics 5

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.
Small PDF contains mass external PDF link farm critical PDF_SEO_LINK_FARM

Small 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.
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://ttraff.me/pify?keyword=pita+bread+pizza In PDF document text
- https://duxixujojive.weebly.com/uploads/1/3/0/7/130739103/5565559.pdfIn PDF document text
- https://lokixesope.weebly.com/uploads/1/3/1/6/131607163/cfe3ef39528.pdfIn PDF document text
- https://fitakizegeva.weebly.com/uploads/1/3/3/9/133999514/2811355.pdfIn PDF document text
- https://gusumadanu.weebly.com/uploads/1/3/2/6/132695601/baret-ramoxupuxija-liwefikubibekan.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- http://www.daltonmaag.com/In PDF document text
- https://cdn.shopify.com/s/files/1/0437/3318/8762/files/rexroth_linear_guide.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/4970/5881/files/lego_mindstorm_ev3_core_set_45544_price.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0481/6093/1991/files/fupewepep.pdfIn PDF document text
- https://s3.amazonaws.com/gowebabuxogiro/ambiguity_in_english_language.pdfIn PDF document text
- https://s3.amazonaws.com/kavitokolezub/jotowuzabumubavevubelefe.pdfIn PDF document text
- https://s3.amazonaws.com/zirojopemup/ielts_essay_writing_topics_with_answers.pdfIn PDF document text
- https://s3.amazonaws.com/biwuwukesazef/ankylose_dentaire.pdfIn PDF document text
- https://s3.amazonaws.com/henghuili-files2/55247437902.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/6e5535e4-8324-42cb-b77e-71c66c1207b5/kuvowakafamomi.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/1f3cc4ea-6e90-4b78-ba06-35ef05fd88e1/35559910757.pdfIn PDF document text
- https://s3.amazonaws.com/tadovu/73374800292.pdfIn PDF document text
- https://s3.amazonaws.com/susopuzupure/apple_airport_time_capsule_3tb.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/9074/6271/files/wobodepafaxete.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0494/0677/1356/files/dd_planescape_campaign_setting.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0497/3903/8874/files/wizuvokupepinajumedas.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0266/8979/8317/files/verifone_taxi_nyc.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0493/2147/6255/files/63581464031.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_off00006b02.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x6B02	4508 bytes
SHA-256: `cc500c7a8d786448ed76b97f98e4f628795492643e18a4eb827fb58a26c67b6e`
`font_01_sfnt_off00007a58.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x7A58	10924 bytes
SHA-256: `4e5a40abb61089daac7105577109a3094b9a7c426a3bf2c798c7342e3f1f2714`
`font_02_sfnt_off00009f7e.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x9F7E	4324 bytes
SHA-256: `ce7e2e230a41ba6fc2d7d2240890c8289d67876d84a3d076d67c0b48111c8230`

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