PDF malware analysis — malicious · 9a30d6cecbc78910

MALICIOUS

PDF

52.5 KB Created: 2020-10-27 18:19:22 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-09-14

MD5: d6c52a1b4e40bc2d488ecc7b511ad453 SHA-1: 274fb7d7ed2ea2d8ea7aad72ac3db5a053746500 SHA-256: 9a30d6cecbc78910807491cdfdc1489cd37ccd01fcf45fbbc6733c1a6cd52cb6

154 Risk Score

Malware Insights

MITRE ATT&CK

T1566.001 Spearphishing Attachment T1059.007 JavaScript

The PDF contains a heuristic firing for linking to known malicious redirector infrastructure, specifically pointing to 'https://ggtraff.ru/123?keyword=angel+tech+pdf'. Additionally, it exhibits characteristics of a link farm, with numerous embedded URLs, including 'https://s3.amazonaws.com/kitakilesa/40968716488.pdf'. The ML classifier also strongly flagged this PDF as malicious. The document body, though heavily obfuscated, contains references to the malicious URL, suggesting an intent to redirect the user to a potentially harmful site.

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://ggtraff.ru/123?keyword=angel+tech+pdf In PDF document text
- https://cdn-cms.f-static.net/uploads/4385850/normal_5f922a78214e1.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4376600/normal_5f8babe8c3a66.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4384299/normal_5f92744d74d45.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4393362/normal_5f8f1f4772ea4.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4386849/normal_5f941e60758b9.pdfIn PDF document text
- https://sasakafu.weebly.com/uploads/1/3/4/3/134371045/navugod_jogunereri.pdfIn PDF document text
- https://raxiruzaxulam.weebly.com/uploads/1/3/0/7/130738564/9514745.pdfIn PDF document text
- https://jopalezaleloloj.weebly.com/uploads/1/3/1/3/131380469/3816b9077aba308.pdfIn PDF document text
- https://waniremupamed.weebly.com/uploads/1/3/1/4/131407535/bff70.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://s3.amazonaws.com/kitakilesa/40968716488.pdfIn PDF document text
- https://s3.amazonaws.com/tizowodifi/agostinho_ramalho_marques_neto_a_ciencia_do_direito.pdfIn PDF document text
- https://s3.amazonaws.com/fosagoba/precalculus_online_textbook.pdfIn PDF document text
- https://s3.amazonaws.com/wonoti/sjogren_s_syndrome_pathophysiology.pdfIn PDF document text
- https://s3.amazonaws.com/vukumesoj/gogisovuneminegasanafita.pdfIn PDF document text
- https://s3.amazonaws.com/fekaduvopigab/pitonedejipovara.pdfIn PDF document text
- https://s3.amazonaws.com/tutapaxi/definicion_del_sindrome_de_asperger.pdfIn PDF document text
- https://s3.amazonaws.com/webipejonavuv/74767897899.pdfIn PDF document text
- https://s3.amazonaws.com/xezujuxoz/basic_anatomy_of_human_body.pdfIn PDF document text
- https://s3.amazonaws.com/ropuba/lekometinifuxajipusivi.pdfIn PDF document text
- https://s3.amazonaws.com/jakujakula/94686199398.pdfIn PDF document text
- https://s3.amazonaws.com/subud/benim_hocam_trke_soru_bankas_2017.pdfIn PDF document text
- https://s3.amazonaws.com/jamokaroxoj/wedasovojinuvax.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/5178/6145/files/cmfas_m5_study_guide.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0494/3685/2391/files/tensorflow_object_detection_android_example.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0356/7515/files/matching_quadratic_functions_to_graphs_worksheet.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0502/3363/9067/files/english_phrases_with_urdu_translation.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0483/9833/6160/files/vatawa.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_off00008e0e.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x8E0E	4920 bytes
SHA-256: `5a166b00279ba63e36bbec791e6472d749100091f664edde1c51c560a1b69b28`
`font_01_sfnt_off00009ecd.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x9ECD	11052 bytes
SHA-256: `56047825ee234bd3ea9141f6fa792286990adef9c9b83a7f56054bcf610f868e`

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