PDF malware analysis — malicious · f314f338615cd11c

MALICIOUS

PDF

50.9 KB Created: 2020-10-29 16:42:08 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-22

MD5: 64f2bc7ede86e0b18e73f7ca271cd8dc SHA-1: 88a2beb36df7a51fa1d6125260d1bc3076fb7eef SHA-256: f314f338615cd11c69aa719c78e822b1fe61e0a2646080fad2b6a3ceeaae1991

94 Risk Score

Malware Insights

MITRE ATT&CK

T1566.001 Spearphishing Attachment T1059.007 JavaScript

The PDF contains a heuristic firing for a malicious redirector link pointing to 'https://ggtraff.ru/aws?keyword=listening+skills+pdf+book'. The document body also contains this URL, suggesting it is the primary lure. The ML classifier strongly flagged this PDF as malicious, indicating a high likelihood of malicious intent.

Machine Learning

Nyx PDF Classifier malicious score 1.0000

Heuristics 3

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.
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/aws?keyword=listening+skills+pdf+book In PDF document text
- https://kuzaloxamuw.weebly.com/uploads/1/3/1/4/131406684/9eb16d443b80a.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4371808/normal_5f8cee555b8a7.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4375514/normal_5f8f596b3f91f.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/timafatafej/77606444588.pdfIn PDF document text
- https://s3.amazonaws.com/leguvefu/mitikixedi.pdfIn PDF document text
- https://s3.amazonaws.com/jolufozo/taluvemoti.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0266/8602/9994/files/medefujeminufam.pdfIn PDF document text
- https://s3.amazonaws.com/pazifetanegapu/pozokibuv.pdfIn PDF document text
- https://s3.amazonaws.com/xanebavifamopez/pexepofij.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0501/1328/2215/files/powers_and_indices_worksheet_gcse.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_off00007d55.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x7D55	4836 bytes
SHA-256: `807aa4eb70fa39d6b65cd84f8903aa6770344cd10eb92ad4c4f2a5c445d150b8`
`font_01_sfnt_off00008dd3.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x8DD3	10300 bytes
SHA-256: `e72553fec46bf5bd36a6b733d30fb8e00ebaf907b73f5b7a1e19a3d9d4167359`
`font_02_sfnt_off0000b0cb.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0xB0CB	4324 bytes
SHA-256: `05d2457133b820fa77aa358e30e9acfbad3f04c46ced9a37296d9311117db176`

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