PDF malware analysis — malicious · 9969d6c0a969cd74

MALICIOUS

PDF

42.6 KB Created: 2020-10-27 17:12:23 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-09-14

MD5: 82bddedcdb6ab641e577558373686790 SHA-1: 4060b68652d66265ba3b7e3e97a423a37e51067a SHA-256: 9969d6c0a969cd7422b779ffd19a448156ec41058ca8c6457da2ed200c973476

154 Risk Score

Malware Insights

MITRE ATT&CK

T1566.001 Spearphishing Attachment T1059.007 JavaScript

The PDF contains a high number of embedded links, many of which point to external PDF files, suggesting a link farm or redirection scheme. One critical heuristic identified a link to known malicious redirector infrastructure at `https://ttraff.cc/123?keyword=chamberlain+liftmaster+professional+formula+1`. The ML classifier also strongly indicated maliciousness. The document body, though heavily obfuscated, contains the same malicious URL, reinforcing the intent to redirect users to potentially harmful content.

Machine Learning

Nyx PDF Classifier malicious score 1.0000

Heuristics 4

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.
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.cc/123?keyword=chamberlain+liftmaster+professional+formula+1 In PDF document text
- https://cdn-cms.f-static.net/uploads/4368735/normal_5f888dd746908.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4367273/normal_5f8b860e3ab65.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4366969/normal_5f872b064dcff.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4377401/normal_5f8e4f2e29115.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4370265/normal_5f8c5c81e48aa.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4403129/normal_5f98262688a3c.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4389599/normal_5f935a8325f14.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://s3.amazonaws.com/fasanag/41521404380.pdfIn PDF document text
- https://s3.amazonaws.com/memul/arithmetic_reasoning_telugu.pdfIn PDF document text
- https://s3.amazonaws.com/wonoti/labufakutekeverizajebeba.pdfIn PDF document text
- https://s3.amazonaws.com/wekibik/basic_programming_language_download.pdfIn PDF document text
- https://s3.amazonaws.com/viboxikuz/77323342674.pdfIn PDF document text
- https://s3.amazonaws.com/rovuweraja/pulse_width_modulation_converter.pdfIn PDF document text
- https://s3.amazonaws.com/gogonof/lemitatebunakovagij.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0266/9199/3791/files/6963194013.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/7322/2294/files/vuloxaxodebavibiliregorul.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0483/3211/2035/files/squamous_cell_carcinoma_oral.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0504/2585/6198/files/fafefo.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0501/1983/5802/files/gossip_girl_imdb_parents_guide.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/534101a0-217d-4b3d-a497-bfbbedaf809e/87783776704.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/2c12ff21-8f3f-4abf-9455-d248e9b971d3/kazusap.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/5784ed3f-cb11-4511-bc79-633b223a5d01/cataclysm_herbalism_guide.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/7b21f4d1-5f8c-4c40-ae15-f936be946e7c/nuxagizefabovazakejobijid.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/d69e53cd-7a3a-46dc-89f2-78592d455e95/yaddanapudi_sulochana_rani.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_off000059e6.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x59E6	5236 bytes
SHA-256: `8366d2afe8c693e30dde13db6cd6f3e2416fff2d586876cc52e63b3fa2b5c433`
`font_01_sfnt_off00006b92.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x6B92	9772 bytes
SHA-256: `0de789c864e399a141f7313e010d59bd0d0fddf459e5cdf97bae99a0959a2293`
`font_02_sfnt_off00008ccc.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x8CCC	4324 bytes
SHA-256: `05d2457133b820fa77aa358e30e9acfbad3f04c46ced9a37296d9311117db176`

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